{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "7f44f602",
   "metadata": {},
   "source": [
    "Copyright (c) MONAI Consortium  \n",
    "Licensed under the Apache License, Version 2.0 (the \"License\");  \n",
    "you may not use this file except in compliance with the License.  \n",
    "You may obtain a copy of the License at  \n",
    "&nbsp;&nbsp;&nbsp;&nbsp;http://www.apache.org/licenses/LICENSE-2.0  \n",
    "Unless required by applicable law or agreed to in writing, software  \n",
    "distributed under the License is distributed on an \"AS IS\" BASIS,  \n",
    "WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.  \n",
    "See the License for the specific language governing permissions and  \n",
    "limitations under the License.\n",
    "\n",
    "# Vector Quantized Variational Autoencoders and Transformers with MedNIST Dataset\n",
    "\n",
    "This tutorial illustrates how to use MONAI for training a Vector Quantized Variational Autoencoder (VQVAE)[1,2] and a transformer model on 2D images.\n",
    "\n",
    "This is a two step process:\n",
    "- We will train our VQVAE model to be able to reconstruct the input images.\n",
    "- This will be followed by using the trained VQVAE model to encode images to feed into the transformer network to train.\n",
    "\n",
    "We will work with the [MedNIST dataset](https://docs.monai.io/en/stable/apps.html#monai.apps.MedNISTDataset) available on MONAI. In order to train faster, we will select just one of the available classes (\"HeadCT\"), resulting in a training set with 7999 2D images.\n",
    "\n",
    "[1] - Oord et al. \"Neural Discrete Representation Learning\" https://arxiv.org/abs/1711.00937\n",
    "\n",
    "[2] - Tudosiu et al. \"Morphology-Preserving Autoregressive 3D Generative Modelling of the Brain\" https://arxiv.org/abs/2209.03177"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3a0642b8",
   "metadata": {},
   "source": [
    "## Setup environment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "5e01f159",
   "metadata": {},
   "outputs": [],
   "source": [
    "!python -c \"import monai\" || pip install -q \"monai-weekly[tqdm]\"\n",
    "!python -c \"import matplotlib\" || pip install -q matplotlib\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e3440cd3",
   "metadata": {},
   "source": [
    "## Setup imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "7e829cba",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MONAI version: 1.4.0rc6\n",
      "Numpy version: 1.26.4\n",
      "Pytorch version: 2.3.1+cu121\n",
      "MONAI flags: HAS_EXT = False, USE_COMPILED = False, USE_META_DICT = False\n",
      "MONAI rev id: 6a0e1b043ba2890e1463fa49df76f66e56a68b08\n",
      "MONAI __file__: /home/<username>/miniconda3/envs/monai/lib/python3.11/site-packages/monai/__init__.py\n",
      "\n",
      "Optional dependencies:\n",
      "Pytorch Ignite version: 0.4.11\n",
      "ITK version: 5.4.0\n",
      "Nibabel version: 5.2.1\n",
      "scikit-image version: 0.23.2\n",
      "scipy version: 1.13.1\n",
      "Pillow version: 10.3.0\n",
      "Tensorboard version: 2.17.0\n",
      "gdown version: 5.2.0\n",
      "TorchVision version: 0.18.1+cu121\n",
      "tqdm version: 4.66.4\n",
      "lmdb version: 1.4.1\n",
      "psutil version: 5.9.0\n",
      "pandas version: 2.2.2\n",
      "einops version: 0.8.0\n",
      "transformers version: NOT INSTALLED or UNKNOWN VERSION.\n",
      "mlflow version: 2.14.0\n",
      "pynrrd version: 1.0.0\n",
      "clearml version: 1.16.2rc0\n",
      "\n",
      "For details about installing the optional dependencies, please visit:\n",
      "    https://docs.monai.io/en/latest/installation.html#installing-the-recommended-dependencies\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import tempfile\n",
    "import shutil\n",
    "import time\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from tqdm import tqdm\n",
    "import torch\n",
    "from torch.nn import L1Loss, CrossEntropyLoss\n",
    "\n",
    "from monai import transforms\n",
    "from monai.apps import MedNISTDataset\n",
    "from monai.config import print_config\n",
    "from monai.data import DataLoader, Dataset\n",
    "from monai.utils import first, set_determinism, ensure_tuple\n",
    "from monai.inferers import VQVAETransformerInferer\n",
    "from monai.networks.nets import VQVAE, DecoderOnlyTransformer\n",
    "from monai.utils.ordering import Ordering\n",
    "from monai.utils.enums import OrderingType\n",
    "\n",
    "print_config()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4f71d660",
   "metadata": {},
   "source": [
    "## Setup data directory\n",
    "\n",
    "You can specify a directory with the `MONAI_DATA_DIRECTORY` environment variable.  \n",
    "This allows you to save results and reuse downloads.  \n",
    "If not specified a temporary directory will be used."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8a303c95",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/tmp/tmp05g42ckq\n"
     ]
    }
   ],
   "source": [
    "directory = os.environ.get(\"MONAI_DATA_DIRECTORY\")\n",
    "root_dir = tempfile.mkdtemp() if directory is None else directory\n",
    "print(root_dir)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0bdd379a",
   "metadata": {},
   "source": [
    "## Set deterministic training for reproducibility"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8a5c290d",
   "metadata": {},
   "outputs": [],
   "source": [
    "set_determinism(42)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c6975501",
   "metadata": {},
   "source": [
    "## Download training data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "de2fd1d5",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "MedNIST.tar.gz: 59.0MB [00:01, 43.5MB/s]                              "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2024-09-05 22:08:09,502 - INFO - Downloaded: /tmp/tmp05g42ckq/MedNIST.tar.gz\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2024-09-05 22:08:09,611 - INFO - Verified 'MedNIST.tar.gz', md5: 0bc7306e7427e00ad1c5526a6677552d.\n",
      "2024-09-05 22:08:09,612 - INFO - Writing into directory: /tmp/tmp05g42ckq.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Loading dataset: 100%|██████████| 47164/47164 [00:20<00:00, 2354.04it/s]\n"
     ]
    }
   ],
   "source": [
    "train_data = MedNISTDataset(root_dir=root_dir, section=\"training\", download=True, seed=0)\n",
    "train_datalist = [{\"image\": item[\"image\"]} for item in train_data.data if item[\"class_name\"] == \"HeadCT\"]\n",
    "image_size = 64\n",
    "batch_size = 16\n",
    "train_transforms = transforms.Compose(\n",
    "    [\n",
    "        transforms.LoadImaged(keys=[\"image\"]),\n",
    "        transforms.EnsureChannelFirstd(keys=[\"image\"]),\n",
    "        transforms.ScaleIntensityRanged(keys=[\"image\"], a_min=0.0, a_max=255.0, b_min=0.0, b_max=1.0, clip=True),\n",
    "        transforms.RandAffined(\n",
    "            keys=[\"image\"],\n",
    "            rotate_range=[(-np.pi / 36, np.pi / 36), (-np.pi / 36, np.pi / 36)],\n",
    "            translate_range=[(-1, 1), (-1, 1)],\n",
    "            scale_range=[(-0.05, 0.05), (-0.05, 0.05)],\n",
    "            spatial_size=[image_size, image_size],\n",
    "            padding_mode=\"zeros\",\n",
    "            prob=0.5,\n",
    "        ),\n",
    "    ]\n",
    ")\n",
    "train_ds = Dataset(data=train_datalist, transform=train_transforms)\n",
    "train_loader = DataLoader(train_ds, batch_size=batch_size, shuffle=True, num_workers=4, persistent_workers=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9eb87583",
   "metadata": {},
   "source": [
    "## Visualse some examples from the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "7b057d0e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot 3 examples from the training set\n",
    "check_data = first(train_loader)\n",
    "fig, ax = plt.subplots(nrows=1, ncols=3)\n",
    "for image_n in range(3):\n",
    "    ax[image_n].imshow(check_data[\"image\"][image_n, 0, :, :], cmap=\"gray\")\n",
    "    ax[image_n].axis(\"off\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a9f6b281",
   "metadata": {},
   "source": [
    "## Download Validation Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ee074b4c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2024-09-05 22:08:35,477 - INFO - Verified 'MedNIST.tar.gz', md5: 0bc7306e7427e00ad1c5526a6677552d.\n",
      "2024-09-05 22:08:35,478 - INFO - File exists: /tmp/tmp05g42ckq/MedNIST.tar.gz, skipped downloading.\n",
      "2024-09-05 22:08:35,480 - INFO - Non-empty folder exists in /tmp/tmp05g42ckq/MedNIST, skipped extracting.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Loading dataset: 100%|██████████| 5895/5895 [00:02<00:00, 2562.28it/s]\n"
     ]
    }
   ],
   "source": [
    "val_data = MedNISTDataset(root_dir=root_dir, section=\"validation\", download=True, seed=0)\n",
    "val_datalist = [{\"image\": item[\"image\"]} for item in val_data.data if item[\"class_name\"] == \"HeadCT\"]\n",
    "val_transforms = transforms.Compose(\n",
    "    [\n",
    "        transforms.LoadImaged(keys=[\"image\"]),\n",
    "        transforms.EnsureChannelFirstd(keys=[\"image\"]),\n",
    "        transforms.ScaleIntensityRanged(keys=[\"image\"], a_min=0.0, a_max=255.0, b_min=0.0, b_max=1.0, clip=True),\n",
    "    ]\n",
    ")\n",
    "val_ds = Dataset(data=val_datalist, transform=val_transforms)\n",
    "val_loader = DataLoader(val_ds, batch_size=batch_size, shuffle=True, num_workers=4, persistent_workers=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a2a79663",
   "metadata": {},
   "source": [
    "## VQVAE Training\n",
    "The first step is to train a VQVAE network - once this is done we can use the trained vqvae model to encode the 2d images to generate the inputs required for the transformer"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a27e12e1",
   "metadata": {},
   "source": [
    "### Define network, optimizer and losses"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "26e574b1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using cuda:1\n"
     ]
    }
   ],
   "source": [
    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
    "print(f\"Using {device}\")\n",
    "vqvae_model = VQVAE(\n",
    "    spatial_dims=2,\n",
    "    in_channels=1,\n",
    "    out_channels=1,\n",
    "    num_res_layers=2,\n",
    "    downsample_parameters=((2, 4, 1, 1), (2, 4, 1, 1)),\n",
    "    upsample_parameters=((2, 4, 1, 1, 0), (2, 4, 1, 1, 0)),\n",
    "    channels=(256, 256),\n",
    "    num_res_channels=(256, 256),\n",
    "    num_embeddings=256,\n",
    "    embedding_dim=32,\n",
    ")\n",
    "vqvae_model = vqvae_model.to(device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "fe69c9bb",
   "metadata": {},
   "outputs": [],
   "source": [
    "optimizer = torch.optim.Adam(params=vqvae_model.parameters(), lr=1e-4)\n",
    "l1_loss = L1Loss()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "525823b0",
   "metadata": {},
   "source": [
    "### VQVAE Model training\n",
    "We will run our model for 100 epochs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "f2200303",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Epoch 0: 100%|█████████████████| 63/63 [00:12<00:00,  5.05it/s, recons_loss=0.0996, quantization_loss=2.02e-5]\n",
      "Epoch 1: 100%|█████████████████| 63/63 [00:11<00:00,  5.42it/s, recons_loss=0.0486, quantization_loss=1.71e-5]\n",
      "Epoch 2: 100%|█████████████████| 63/63 [00:11<00:00,  5.41it/s, recons_loss=0.0382, quantization_loss=1.81e-5]\n",
      "Epoch 3: 100%|█████████████████| 63/63 [00:11<00:00,  5.40it/s, recons_loss=0.0335, quantization_loss=2.14e-5]\n",
      "...\n",
      "Epoch 99: 100%|████████████████| 63/63 [00:11<00:00,  5.39it/s, recons_loss=0.0159, quantization_loss=6.46e-5]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train completed, total time: 1178.9762766361237.\n"
     ]
    }
   ],
   "source": [
    "max_epochs = 100\n",
    "val_interval = 10\n",
    "epoch_recon_loss_list = []\n",
    "epoch_quant_loss_list = []\n",
    "val_recon_epoch_loss_list = []\n",
    "intermediary_images = []\n",
    "n_example_images = 4\n",
    "\n",
    "total_start = time.time()\n",
    "for epoch in range(max_epochs):\n",
    "    vqvae_model.train()\n",
    "    epoch_loss = 0\n",
    "    progress_bar = tqdm(enumerate(train_loader), total=len(train_loader), ncols=110)\n",
    "    progress_bar.set_description(f\"Epoch {epoch}\")\n",
    "    for step, batch in progress_bar:\n",
    "        images = batch[\"image\"].to(device)\n",
    "        optimizer.zero_grad(set_to_none=True)\n",
    "\n",
    "        # model outputs reconstruction and the quantization error\n",
    "        reconstruction, quantization_loss = vqvae_model(images=images)\n",
    "\n",
    "        recons_loss = l1_loss(reconstruction.float(), images.float())\n",
    "\n",
    "        loss = recons_loss + quantization_loss\n",
    "\n",
    "        loss.backward()\n",
    "        optimizer.step()\n",
    "\n",
    "        epoch_loss += recons_loss.item()\n",
    "\n",
    "        progress_bar.set_postfix(\n",
    "            {\"recons_loss\": epoch_loss / (step + 1), \"quantization_loss\": quantization_loss.item() / (step + 1)}\n",
    "        )\n",
    "    epoch_recon_loss_list.append(epoch_loss / (step + 1))\n",
    "    epoch_quant_loss_list.append(quantization_loss.item() / (step + 1))\n",
    "\n",
    "    if (epoch + 1) % val_interval == 0:\n",
    "        vqvae_model.eval()\n",
    "        val_loss = 0\n",
    "        with torch.no_grad():\n",
    "            k = 0\n",
    "            for val_step, batch in enumerate(val_loader, start=1):\n",
    "                k += 1\n",
    "                if k == 3:\n",
    "                    break\n",
    "                images = batch[\"image\"].to(device)\n",
    "\n",
    "                reconstruction, quantization_loss = vqvae_model(images=images)\n",
    "\n",
    "                # get the first sample from the first validation batch for\n",
    "                # visualizing how the training evolves\n",
    "                if val_step == 1:\n",
    "                    intermediary_images.append(reconstruction[:n_example_images, 0])\n",
    "\n",
    "                recons_loss = l1_loss(reconstruction.float(), images.float())\n",
    "\n",
    "                val_loss += recons_loss.item()\n",
    "\n",
    "        val_loss /= val_step\n",
    "        val_recon_epoch_loss_list.append(val_loss)\n",
    "\n",
    "total_time = time.time() - total_start\n",
    "print(f\"train completed, total time: {total_time}.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "565f465e",
   "metadata": {},
   "source": [
    "### VQVE Loss Curve"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "76a83c60",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.style.use(\"ggplot\")\n",
    "plt.title(\"Learning Curves\", fontsize=20)\n",
    "plt.plot(np.linspace(1, max_epochs, max_epochs), epoch_recon_loss_list, color=\"C0\", linewidth=2.0, label=\"Train\")\n",
    "plt.plot(\n",
    "    np.linspace(val_interval, max_epochs, int(max_epochs / val_interval)),\n",
    "    val_recon_epoch_loss_list,\n",
    "    color=\"C1\",\n",
    "    linewidth=2.0,\n",
    "    label=\"Validation\",\n",
    ")\n",
    "plt.yticks(fontsize=12)\n",
    "plt.xticks(fontsize=12)\n",
    "plt.xlabel(\"Epochs\", fontsize=16)\n",
    "plt.ylabel(\"Loss\", fontsize=16)\n",
    "plt.legend(prop={\"size\": 14})\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "47b3c37e",
   "metadata": {},
   "source": [
    "###  Plotting  evolution of reconstruction performance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "0518fe65",
   "metadata": {
    "lines_to_next_cell": 2
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x3000 with 10 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot every evaluation as a new line and example as columns\n",
    "val_samples = np.linspace(val_interval, max_epochs, int(max_epochs / val_interval))\n",
    "fig, ax = plt.subplots(nrows=len(val_samples), ncols=1, sharey=True)\n",
    "fig.set_size_inches(18, 30)\n",
    "ax = ensure_tuple(ax)\n",
    "\n",
    "for image_n in range(len(val_samples)):\n",
    "    reconstructions = torch.reshape(intermediary_images[image_n], (64 * n_example_images, 64)).T\n",
    "    ax[image_n].imshow(reconstructions.cpu(), cmap=\"gray\")\n",
    "    ax[image_n].set_xticks([])\n",
    "    ax[image_n].set_yticks([])\n",
    "    ax[image_n].set_ylabel(f\"Epoch {val_samples[image_n]:.0f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "329286c5",
   "metadata": {},
   "source": [
    "### Plot reconstructions of final trained vqvae model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "7c519f43",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(nrows=1, ncols=2)\n",
    "ax[0].imshow(images[0, 0].detach().cpu(), vmin=0, vmax=1, cmap=\"gray\")\n",
    "ax[0].axis(\"off\")\n",
    "ax[0].title.set_text(\"Inputted Image\")\n",
    "ax[1].imshow(reconstruction[0, 0].detach().cpu(), vmin=0, vmax=1, cmap=\"gray\")\n",
    "ax[1].axis(\"off\")\n",
    "ax[1].title.set_text(\"Reconstruction\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5eec424e",
   "metadata": {},
   "source": [
    "## Transformer Training\n",
    "Now that a vqvae model has been trained, we can use this model to encode the data into its discrete latent representations. These inputs can then be flattened into a 1D sequence for the transformer to learn in an autoregressive manor.\n",
    "\n",
    "Training can be done in 2 ways:\n",
    "- Loading in the original images and then encoding these images on the fly during training using the vqvae model, the advantage of this is we can augment training data during training that is then encoded, however this will slow down training and is more memory intensive.\n",
    "- Before training the transformer we encode all the training data first and save the discrete encodings. These latent codes are then loaded and fed to the transformer for training.\n",
    "\n",
    "For this tutorial we will use the first appraoch and use the vqvae network to encode the data during the training cycle"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a36e54d0",
   "metadata": {},
   "source": [
    "### Datasets\n",
    "We can use the same dataloader with augmentations as used for training the VQVAE model. However given the memory intensive nature of Transformer models we will need to reduce the batch size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "fd99689f",
   "metadata": {},
   "outputs": [],
   "source": [
    "train_loader = DataLoader(train_ds, batch_size=16, shuffle=True, num_workers=4, persistent_workers=True)\n",
    "val_loader = DataLoader(val_ds, batch_size=16, shuffle=True, num_workers=4, persistent_workers=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d2ffb784",
   "metadata": {},
   "source": [
    "### Latent sequence ordering\n",
    "We need to define an ordering of which we convert our 2D latent space into a 1D sequence. For this we will use a simple raster scan."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "07c9e223",
   "metadata": {
    "lines_to_next_cell": 2
   },
   "outputs": [],
   "source": [
    "# Get spatial dimensions of encoded data\n",
    "test_scan = next(iter(train_loader))[\"image\"].to(device)\n",
    "spatial_shape = vqvae_model.encode_stage_2_inputs(test_scan).shape[2:]\n",
    "\n",
    "ordering = Ordering(ordering_type=OrderingType.RASTER_SCAN.value, spatial_dims=2, dimensions=(1,) + spatial_shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8cd6a92b",
   "metadata": {},
   "source": [
    "### Begin of sentence token (BOS)\n",
    "\n",
    "After we transform the data into a 1D representation, we need to define a value token to define the begining of the sequence (a.k.a., BOS token in NLP). This way, when we feed it to the transformer, the transformer will predict what is the value of the first valid token in the sequence. Since in the VQ-VAE, we are using the token values from 0 to 255 to define the elements of the codebook, here we will specify the next value as the be BOS, i.e. 256."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "a6096c6b",
   "metadata": {},
   "outputs": [],
   "source": [
    "bos_token = 256"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c2eae1de",
   "metadata": {},
   "source": [
    "## Define Network, optimizer and losses"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "5e635b70",
   "metadata": {},
   "outputs": [],
   "source": [
    "transformer_model = DecoderOnlyTransformer(\n",
    "    num_tokens=256 + 1,  # 256 from num_embeddings input of VQVAE + 1 for Begin of Sentence (BOS) token\n",
    "    max_seq_len=spatial_shape[0] * spatial_shape[1],\n",
    "    attn_layers_dim=96,\n",
    "    attn_layers_depth=12,\n",
    "    attn_layers_heads=8,\n",
    ")\n",
    "transformer_model = transformer_model.to(device)\n",
    "\n",
    "inferer = VQVAETransformerInferer()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "66e9ba89",
   "metadata": {
    "lines_to_next_cell": 2
   },
   "outputs": [],
   "source": [
    "optimizer = torch.optim.Adam(params=transformer_model.parameters(), lr=5e-4)\n",
    "ce_loss = CrossEntropyLoss()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "32db0efc",
   "metadata": {},
   "source": [
    "### Transformer Model Training\n",
    "We will train the model for 50 epochs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "af539d65",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Epoch 0:   0%|                                                                        | 0/500 [00:00<?, ?it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Epoch 0: 100%|████████████████████████████████████████████████| 500/500 [00:32<00:00, 15.51it/s, ce_loss=3.39]\n",
      "Epoch 1: 100%|█████████████████████████████████████████████████| 500/500 [00:31<00:00, 15.67it/s, ce_loss=2.9]\n",
      "Epoch 2: 100%|████████████████████████████████████████████████| 500/500 [00:30<00:00, 16.56it/s, ce_loss=2.73]\n",
      "...\n",
      "100%|██████████| 256/256 [00:02<00:00, 108.28it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train completed, total time: 1618.526816368103.\n"
     ]
    }
   ],
   "source": [
    "max_epochs = 50\n",
    "val_interval = 10\n",
    "epoch_ce_loss_list = []\n",
    "val_ce_epoch_loss_list = []\n",
    "intermediary_images = []\n",
    "vqvae_model.eval()\n",
    "\n",
    "total_start = time.time()\n",
    "for epoch in range(max_epochs):\n",
    "    transformer_model.train()\n",
    "    epoch_loss = 0\n",
    "    progress_bar = tqdm(enumerate(train_loader), total=len(train_loader), ncols=110)\n",
    "    progress_bar.set_description(f\"Epoch {epoch}\")\n",
    "    for step, batch in progress_bar:\n",
    "        images = batch[\"image\"].to(device)\n",
    "\n",
    "        optimizer.zero_grad(set_to_none=True)\n",
    "\n",
    "        logits, target, _ = inferer(images, vqvae_model, transformer_model, ordering, return_latent=True)\n",
    "        logits = logits.transpose(1, 2)\n",
    "\n",
    "        loss = ce_loss(logits, target)\n",
    "\n",
    "        loss.backward()\n",
    "        optimizer.step()\n",
    "\n",
    "        epoch_loss += loss.item()\n",
    "\n",
    "        progress_bar.set_postfix({\"ce_loss\": epoch_loss / (step + 1)})\n",
    "    epoch_ce_loss_list.append(epoch_loss / (step + 1))\n",
    "\n",
    "    if (epoch + 1) % val_interval == 0:\n",
    "        transformer_model.eval()\n",
    "        val_loss = 0\n",
    "        with torch.no_grad():\n",
    "            for val_step, batch in enumerate(val_loader, start=1):\n",
    "                images = batch[\"image\"].to(device)\n",
    "                logits, quantizations_target, _ = inferer(\n",
    "                    images, vqvae_model, transformer_model, ordering, return_latent=True\n",
    "                )\n",
    "                logits = logits.transpose(1, 2)\n",
    "\n",
    "                loss = ce_loss(logits, quantizations_target)\n",
    "\n",
    "                # Generate a random sample to visualise progress\n",
    "                if val_step == 1:\n",
    "                    sample = inferer.sample(\n",
    "                        vqvae_model=vqvae_model,\n",
    "                        transformer_model=transformer_model,\n",
    "                        ordering=ordering,\n",
    "                        latent_spatial_dim=(spatial_shape[0], spatial_shape[1]),\n",
    "                        starting_tokens=vqvae_model.num_embeddings * torch.ones((1, 1), device=device),\n",
    "                    )\n",
    "                    intermediary_images.append(sample[:, 0])\n",
    "\n",
    "                val_loss += loss.item()\n",
    "\n",
    "        val_loss /= val_step\n",
    "        val_ce_epoch_loss_list.append(val_loss)\n",
    "\n",
    "total_time = time.time() - total_start\n",
    "print(f\"train completed, total time: {total_time}.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "acea5335",
   "metadata": {},
   "source": [
    "### Transformer Loss Curve"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "c2b6bb2d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.style.use(\"ggplot\")\n",
    "plt.title(\"Learning Curves\", fontsize=20)\n",
    "plt.plot(np.linspace(1, max_epochs, max_epochs), epoch_ce_loss_list, color=\"C0\", linewidth=2.0, label=\"Train\")\n",
    "plt.plot(\n",
    "    np.linspace(val_interval, max_epochs, int(max_epochs / val_interval)),\n",
    "    val_ce_epoch_loss_list,\n",
    "    color=\"C1\",\n",
    "    linewidth=2.0,\n",
    "    label=\"Validation\",\n",
    ")\n",
    "plt.yticks(fontsize=12)\n",
    "plt.xticks(fontsize=12)\n",
    "plt.xlabel(\"Epochs\", fontsize=16)\n",
    "plt.ylabel(\"Loss\", fontsize=16)\n",
    "plt.legend(prop={\"size\": 14})\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "90b5b4b7",
   "metadata": {},
   "source": [
    "### Plot evoluation of Generated Samples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "732d7c76",
   "metadata": {
    "lines_to_next_cell": 2
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5\n"
     ]
    },
    {
     "data": {
      "image/png": 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Ac2wi0ix+aK36eTUo2Ewny9auXevWd+7c6dZHjx4t15gwYYJbr6qqcusHDx5062rQs5keBHvxxRe79YkTJ7p1lQxU+22m912lptQaISpNqIYhq3NEHVsznSA9//zz3bp6X0Pnm6KOiUqPqmHWoYSqGrishlmr9y80PFklL9V+qN8LoTViE5ktLS1uXX0Gxo8fL9dW75M630aMGOHWb7jhBrnGW2+95dabmprcunr/QunK2LRklhSl0vu1Cn1tvskBAJJFkwMAJIsmBwBIFk0OAJAsmhwAIFklla7MS2yKUv18aBadSkuplJiqDx06VK6h5kfu3r3brb/55ptufe/evXINRaXa6uvr3bqaQzlt2jS5xuzZs926ms151VVXufXBgwfLNdSxUlTCMTTHdPjw4W5dHSuVjlXniEo3mpmNGjXKrauUoZqVGkoxDxw40K3HJh9VojX0mHqtLAnO2M+/eq3YJKiZ2fTp09166HeM58orr5SPPfvss2798ccfd+tqv0Pv09mIb3IAgGRFf5N79dVXbeXKlbZlyxZramqyI0eOWHl5udXV1dnkyZPt8ssvlxP3AQAopoKbXFdXl33zm9+0tWvXWkVFhdXX19usWbNs4MCB1t3dbQcPHrSVK1fab37zG5s/f759/vOfz3TxLgAAeSm4yT300EP2+uuv22c/+1m76qqr3H+jOHr0qD3zzDP23e9+1x566CH79Kc/nevGAgAQo+B/k1u5cqXdcMMNtnjxYvmP8AMGDLDFixfb9ddfb88//3xuGwkAQBYFf5Pr7OyUKbLehg8fHrxDb4wsd5ZVj6nXGjZsmFuvra2Va6i5duo/ANTsw5UrV8o1VKpOpbhCdxlXVLrrnXfecetqFqVKiYbmZqq5kueee65bV3f5njp1qlxDpT7VsVXHUJ0jZnoGp0qvqQSnOh7qXDPTd0uPvet6iPrcqP1T9dCdnGM/s1lmIsbOaoy9k3ho/qdKSqsksfpcqs+AmdknP/lJt65S11u2bHHroTu4x54LSpb374zPrqyvr7cVK1a874ekq6vLVqxYYVOmTCn0pQEAOCMK/iZ3880327Jly+z222+3q666yqZOnWo1NTUnBU82bdpkzz77rLW3t9vdd999JrcbAID3VXCTmzlzpn3lK1+xhx56yP7t3/7N/Xrar18/mzt3rn384x/nmxwAoM9FXSdXX19vd955p3V2dtq2bdusubn53evkamtrbeLEifJvzwAAFFumsV6DBw+2mTNn5r0tAADkirFeAIBknZEBzT/72c/sRz/6kf3whz887dfK87bqauCqiluraLiZjoGr58yfPz/qdczMnnjiCbeuEq7qT8Wh6La6HGHPnj1uPTaGrS45CD32zDPPuHW1f6F//z3nnHPcek1NjVsfMmSIWw8NgVaXjagIenV1ddQaoQHNag31HHXuhGLjscOTYwc3m8WfV+qcVq8TEjvsOcsgbTUoXJ2H6hKC0ADq888/361ff/31bv3BBx906+3t7XINJcvv42I5Y9/kQr9YAQAohoK/ya1fv77gF21sbMy0MQAA5KngJve3f/u3Z3I7AADIXcFNrqKiwiZNmmTXXXfd+/7siy++yOxKAECfK7jJTZ061Zqbm23hwoXv+7O7du06rY0CACAPBTe56dOn26OPPmodHR0ygXZC1tDJsWPHTklyqeRjKGUU+5yqqiq3vmDBArnGxRdf7NbPO+88t37ppZe6dTU81cxs8+bNbv3tt9+Wz/FkST6p91Al7ZT9+/dHP6bSiirVFhqePGLECLeuEpkXXHCBW7/wwgvlGmqAskqoKuPHj3fr48aNk89Racmmpia3rhKAAwcOlGuo4eKhNKEnNChCJS/VuaDOz1CCUz2mEpyh1/KEPhtq8Lcayq2OlToeoccuu+wyt/7iiy+69dBnVu1HbKo1y++k3u9Hoa9RcJO77rrrbMGCBQXtzEc/+lH76Ec/WuhLAwBwRhTc5GpqauQ1HQAAlCImngAAkkWTAwAkiyYHAEjWGZldmdXx48cLvo16KACjUpQqkaXSopMmTZJrxKYPN27c6NZ37Ngh11DUXDs1BzN0N3d1vFVdpfDUz6ttNdPHSqWmVGpWJb7M9By+LVu2yOd4LrroIvmYSkWqhKM6Juo8DKWVVbJTHcOxY8e69YqKCrmGOr6x8zFDVJJRfc7V/oVS1+ocjU0GqvM2lHyM/ZxlSair/Zg4caJbnzBhglsPpedVGlTtu3qfCv09nwe+yQEAkkWTAwAk67T+XNnZ2Wn79u2zjo4O9+v17NmzT+flAQA4LZmaXFtbm91///324osvBv+2+vDDD2feMAAATlemJved73zHVq9ebUuWLLFZs2bJsVgAAPSlTE1u3bp1dt1119nNN9+c68b09PSc8s0wS8oodkadmjG4cuVKuUZra6tbV6k9NYsuNH9N3fVZ3UFa/Xwo7RZ7fFWyTCW71DaZ6ZRhbW2tW1cTd0JzF1XCcd++fW5dpQzVNpnpu8GrVJv6j0KVVnznnXfk2r/+9a/dujru8+bNc+uh/Rs1apRbV+dV7J22zXQKNvYu46F5k7FzMNXvC/X5U+lfMz1fNXTuekKfV3V8Y2f2hpK26vdV7O+RLLMrez+n0NfIFDwZNGiQjRw5MstTAQAomkxN7sorr7SXXnop720BACBXBf25svctXy677DJbv3693XPPPXbNNdfY8OHD3T8TTJ06NZ+tBAAgg4Ka3J133ikfe/XVV+VjpCsBAH2poCZ3yy23nOntAAAgdwU1uUWLFp3hzYiXJWWkEoDqTrjPPfecXEO9lkofquRcKA02dOhQt672L8tMPZVQUqm22FRUKHGmqO298sor3bqax2imk4nNzc1Ra4TmmMbOnFTvudomlaA0M3vqqaeitkmlLmfNmiXXUGk7lRhW52HoztkqqanOdXUehmalxqYo1WdcpRInT54s11YJXPVasfM0zfT+qd8jKjUbOobquKtzOsuM0SzJy5BMwZNjx47JX9pmv/uFHtoJAACKIVOTe+CBB+zuu++Wj9999932/e9/P/NGAQCQh0xNbu3atXbppZfKxxcuXGhr1qzJvFEAAOQhU5Nrbm62uro6+Xhtba2cNAEAQLFkanJVVVW2a9cu+fjOnTvl6BsAAIolU5ObP3++rVixwk2ubd682VasWGELFiw47Y0DAOB0ZBrQfNNNN9natWvtrrvusgsvvPDdQbTbt2+31atXW3V1td10003Rr3v8+PFT4rxZBoLGDmhWSVA1hNlMR3xV/HbEiBFuPRSx7+7ujqqrYxWKI8dedqCOYZbLF9RxV/F3NUEn9KdztcaUKVOi6iHqcgs1fFfF5VevXu3WQwOax40b59ZVvF/ZsGGDfEz9VUZF09V+hz6z6nMTm9IOraEun4gdxKyOrfqMm+nh4rGXNYT2L/bzrz43WS4hUNsbe2nBmZCpydXV1dnXvvY1W758ub388su2atUqM/vdSXHFFVfYJz7xieAvHgAAiiHzncFra2vt1ltvtZ6enne/8VRXVxe1QwMAEJK5yZ1QVlb27td6GhwAoJRkbnL79++3H/3oR7ZmzZqTvsktWLDAbrzxRu43BwDoc5ma3M6dO+1LX/qSdXR02Ny5c238+PFmZrZr1y575plnbPXq1bZs2TL5j+IAABRDpia3fPlyKysrs3vvvfeUwbXbtm2zZcuW2fLly+2OO+6Iet1+/fqdksZRfwIN/WlUJX0UlT7KsoZKP6lBrKEBzSrlpJ6jUpdqALVZ/G3rFXU81DaZ6eOrUmpqwIBKzZmZbdmyxa2rVGttba1bnzZtmlxDPUftu0oyvv7662499FcRFfCKPUcOHDgg1zh48KB8zKOOR+hcVylcVc+SulYJ4Nhh5Gpur3qd0HapJKpKlYb2T72WOu6hFKUSO3Q8y/tUEgOa33zzTVuyZIk7mX3SpEl27bXX2vr160974wAAOB2ZmtzRo0eD13cNGjQoeFsNAACKIVOTmzJlij355JPu1/ZDhw7Zk08+KS/cBQCgWDL9m9zHPvYxu+eee+z222+3RYsWvRsw2bVrlz399NPW1tZmn/nMZ3LdUAAAYmVqcnPmzLE777zTHnzwQfv5z39+0mP19fV266232pw5c3LZQAAAssp8ndzcuXPt3nvvtYMHD9q+ffvM7HcpMDWjrRDHjh07JVWUJf0Xm85Ra2S5RXtsGkzN/zMz27Nnj1tXSUaV4FSzEkOPqX1XKSqV7ArNUFSJRTU/UqUo29vb5RoqCafShIcPH3broWTg+eef79bVeXViDF5vKj2q3tcQddxVujKUUFXnmzp3Wlpa3HpohmpeibrQrFT1HqrtUu/fid93vW3btk2urT4f6vOvMg/qdUI6Ojrcutre0Lmg5nnGJlRD8kp8n3DaE09qampOq7EBAHCmZG5yra2t9sgjj9iaNWtO+ia3YMECu+GGG2h8AIA+lylduX37dvvCF75gjz32mFVWVtrChQtt4cKFVllZaY899pjdcccdwa/uAAAUQ6Zvcvfff78dP37c7rnnHps+ffpJjzU0NNhXv/pVe+CBB+zLX/5yLhsJAEAWmb7JNTQ02NKlS09pcGZm06dPtyVLltjGjRtPe+MAADgdmb7JDRs2LJjyKS8vt2HDhkW/bk9PTy7JmrzSlaHXUc9R6Tw1AWbMmDFyjYqKCrfe3NwctUZolqeaS6j2T9VHjRrl1ufNmyfXPjHYuzeVAFSJz1CCU62hZlqqY7t27Vq5hkpwVldXu/XQnEhPKNmpUm3qXIidFxp6jkrhqTRf6HdG7GcwS8pQHUd1/qhtUufn3r175drqXFApSvXZD/1OUsdk165dbl3NSg2db7Gy/G4t9LUK7RWZ9mbp0qX2xBNPuL8gm5qa7PHHH7elS5dmeWkAAHKT6ZtcT0+PVVRU2G233WaXXHLJu99Gdu/ebatWrbIxY8ZYT0+P/eIXvzjpeddff/3pbzEAAAXK1OR+8IMfvPu/n3vuuVMe37Zt20k/cwJNDgBQTJma3Le+9a28twMAgNxlanKhmzgCAFAqCg6eNDQ0BGcEvldjY6M9/fTTmTcKAIA8FPxN7otf/KLddtttdsUVV5jZ74bifu5zn7O77rrLZs+efdLPbtiwwb797W/b1Vdfne/WFij2MoQ8b7eu4tMqsj5kyBD5WnPnznXrF1xwgVtXg3z3798v13jjjTfc+jvvvOPW6+rq3PqMGTPcuopCm+nLF9TAXLV/oTi5ej/UZRUqFq+G8prp91Ctrc5PdaxCg8IVtX9qgHHoJscq5q4unVCfJ3W5Q2i71LkQuixGiR16rNZQ2xQabKzO9bFjx7r10KBpRZ1Xv/71r926+uyHBrrnNTw59Drq/CnqJQQnFuju7s50sgEAUAz5XfUHAECJockBAJJFkwMAJCvqXzcbGxtt8+bNZvb//tF59+7dp8x+a2xszGnzAADILqrJPfzww/bwww+fVLvvvvty3aBCZUnnZHmtvLS1tbl1lXAy06m6j370o2598eLFbj2UPty+fbtbf+mll9y6SompJGHsMGIzs+HDh0f9fCi1pwZmq4ScqofOqZaWFreuzisV1lLvkxoIbKaTcGrI7uDBg6NeJ7S+ei11rLKkmFUiMkv6UD1HHSu1thL6PaKOoUrmZjlW6rP57LPPunWVBg19ntTvpDwT6nn/Pi74TLnllltyXRgAgDOt4Ca3aNGiM7gZAADkj+AJACBZNDkAQLJocgCAZGW6C8GZUlZWVnBKJ880Tx63Yj9BpfPUz4eGXq9Zs8atqxTe9OnT3fqll14q1+h9+cf71V944QW3vmnTJrc+aNAgubZ6TKXaVCoxNHdRJedUgrOmpsatq/fVTL8f6j1XKT+VwAuNzlNJOHVOqzVUCjVEzdpUxyqUiFTHStXV+6rq7/eYRyUJ1Xkbev2hQ4e69VDy2RNKHr711ltu/e2333br6rwK/U5SnzW174XOoSzkOVnxTQ4AkCyaHAAgWTQ5AECyaHIAgGTR5AAAyTpr05V9LXY7s8zzU+kulbr8yU9+4tbV3YfNzCZNmhT1HLW9Kp0Xmv+n0nkqeaWSXaFZeyq9ppJ+KjkXSgaqYxJ7Z2l1rLIk0WLnLoYSnLHJS5W0C83HVO+h+gyo9G/sfpvp91Yd29g715uZ1dbWRq2hjmHoXFDJZzWjUt3ZPfR+x6Yos6QrY5O274dvcgCAZNHkAADJoskBAJJFkwMAJIsmBwBIFk0OAJAsLiE4C6mI79NPP+3WQ9HmP/qjP3LrkydPjqrv27fPrYeG1qrYuIo2qwh6aHiyisarCLoSukxBRZtj1x48eLBbDw25VvF3dXmGOraqbqaPrxr2rKjLAczMOjo63Lq6bEQd29DAY3Uuqueounqd0DlVV1fn1tX7p/Zvx44dco2nnnrKravPTez7F5I13u8p9LKDQtfkmxwAIFk0OQBAsmhyAIBk0eQAAMmiyQEAklVS6cqUZUmNxj6nqanJrf/7v/+7fM7+/fvd+rXXXuvWL774Yrc+a9Yst65Sl2Y6KbZu3Tq3rhKAKkloppOlsYNj29ra5BoqpaaSc6o+YsQItx5K7alEpkoAqoSjSjGGnqNSn9XV1VGvY6YTnLGDm0Nih3Wr+pAhQ9y6Sh6b6XSl2u/29na3/qtf/UqusWnTJreukpqxyVWzbIPm8/j508E3OQBAsmhyAIBk0eQAAMmiyQEAkkWTAwAkq6TSlSnPrlSpvTxTlyottWfPHvlav/71r9361q1b3frevXvd+uWXX+7Wa2tr5doq7aYSn2q+YWgGn0qKqYSc2qbQbEf1mErOqeRjnvP/VPpQHcPW1lb5WuqYlJeXR9VDMzhVClalWlU9NMdU7YdKqA4dOtStT58+3a1PnTo1eu3Ozk63/vzzz7v1n/3sZ3INdR6G0pKe0LzZ2FRyKeCbHAAgWTQ5AECyaHIAgGTR5AAAyaLJAQCSVVLpSrPizjQrBVlSSbFJzdAxVemu9evXR/38G2+84dbnzp0r11bJSzXnb/bs2W59y5Ytco2DBw+6dXW35JqaGrc+cuRIuYZK4anUp5rHqBKtocSgOobqObt373broVmQKhWp1oidBWmmE32xCc5QMlC9T2PHjnXrkyZNcutTpkxx6yohamZ2+PBht/7KK6+49eXLl7t1dY6YxScfVeoy9Psiy3P6Gt/kAADJoskBAJJFkwMAJIsmBwBIFk0OAJAsmhwAIFkldQlBygOa+1LoMgX1mIq/v/32225dDYF++eWX5dpjxoxx6+eee65bnzFjhlufP3++XENt144dO9y6GmCs4uRmZsOHD3frKs7+1ltvufUXX3wx6nXMzKZNm+bW1aUQBw4ccOtqYLWZ2bBhw9y6iuSrQeFZqNdS26u21cysvr7eravByuoYqksh1NBoM7OVK1e69e9///tufdWqVW49NGxZfZZjL1MK/XzsZQp5/j7v/VqFvjbf5AAAyaLJAQCSRZMDACSLJgcASBZNDgCQrJJKV+L0ZBmeqh5TCTK1hkqWtbe3y7W3b9/u1hsaGty6SmNOmDBBrqGScyqpOWrUKLceGtCsBvOqAcZq4LEair1z50659qFDh9x6RUWFW1epWfU6ZjrJqPZj4MCBbj2UDFTHSr3n6v0YP368XEOlYNW5roYqNzY2uvVf/vKXcu1HH33UrW/bts2tV1ZWuvXQ50mJTV1mSUTmmaLMMrQ+hG9yAIBk0eQAAMmiyQEAkkWTAwAkiyYHAEgW6cqEZEk4xSaZYtfIMjezubnZrR88eNCtv/HGG3INlQBU8zGvuuoqt67SmGZ6XqJKaqpZm3V1dW799ddfl2urWZuxKUqV5jMzGzx4sFsfN25c1M+rWZdmOi2pXku9r6E5n+p8U4lFNaf1wQcfdOvPPfecXLurq8utqxSs+vkQNeczNkWZZXZlntQaWdfmmxwAIFk0OQBAsmhyAIBk0eQAAMmiyQEAklVS6cqenp7c55ahOPJ83/JMg6mU2tq1a9365s2b3fro0aPlGipdqWZqqjtUz549261/+MMflmurRKaaE9nZ2enW1bxJMz27sry83K2rpGYoHafew9C8S09oBqeaE/nEE0+49Z///OduXd1VXs0wNTMbMWKEW1fbq+rHjh2Ta+SVfCxGgrKY+CYHAEgWTQ4AkCyaHAAgWTQ5AECyaHIAgGSVVLoS6clznqZKlmWZV6hSe2puZuiOzCqZuGHDBrdeXV3t1tX8xlmzZsm1L7nkErc+b948t67maYbSler4qjtqxyYGzcz279/v1lXaVc2VXL16tVxj06ZNbl3d1V5RSUl1PEJrtLS0uHV1rEJrpJaK7K33/hW6v3yTAwAkiyYHAEgWTQ4AkCyaHAAgWTQ5AECyaHIAgGRxCQHOqNCA3diBy1kGNKvnqFi8eq3QGt3d3W5dXfJw5MgRt37w4EG3vnv3brn2a6+95tZVzH3s2LFuXV2+YKYHNKuYe2Njo1sP7ceePXvcuhooffToUbeu3ouQmpoat67ec/X+hS5FUMdK7Uf//v3depYh16lcWsAlBAAA9EKTAwAkiyYHAEgWTQ4AkCyaHAAgWSWXrgyl2HD2yZLsin1OlnMmzzViE5kqcarSmF1dXXJtNVB648aNbl2l9tTQ6BC1Hyp9mCVpqwYS5zn4Ww1JVsnHw4cPu3X1/pnpfVcp39DQcaUUU5SlkPjkmxwAIFk0OQBAsmhyAIBk0eQAAMmiyQEAklVy6UogVp5JuzzTYLGpTzV3Mcu8QlVXCcADBw7INVQiU9XV2iqtGHpO7DEMpRJD6c48tinPOa04Ve/3ttAEKt/kAADJoskBAJJFkwMAJIsmBwBIFk0OAJCskkpX9vT0kDZCUfTlTL3YlF+W11L7odKVof1WzykvL3freaYrldj9C62hUqKx71Oe504xUr7FeK0zmXwu9P3hmxwAIFk0OQBAsmhyAIBk0eQAAMmiyQEAkkWTAwAki0sI8IFUjEsF8lo79JmIHfybZb9j11D1LMOT84zxq/WzXFZxpuW5duxr5XmOqPcvdE6r92PQoEEn/X916UdvfJMDACSLJgcASBZNDgCQLJocACBZNDkAQLJKKl0J4FR9PfhXJeTUwOUBA/xfK1nSlUps4rNUxb4fWZK2eW2TWXxCVb1WaJB2VVWVW582bdpJ/7++vl6+xnvxTQ4AkCyaHAAgWTQ5AECyaHIAgGTR5AAAySqpdCWzK4G+kefnLnamZUhfzl3Mc/5nXvLcPyWUdFWpSPWc3vMmTxg/frxcY8GCBW59woQJJ/3/0aNHy9d4L77JAQCSRZMDACSLJgcASBZNDgCQLJocACBZpCsBBKnPZOxdn0N3ci4vL496re7u7qhtMou/e7Wa05jlbtdKnrMrY5OPag31XpiZDR061K33Tj6eMGPGDLc+adIkuUZTU5Nbf+KJJ0557c985jPydU7gmxwAIFk0OQBAsmhyAIBk0eQAAMmiyQEAkkWTAwAkq6QuITA7+25fD6Qg9LnLEmf3hC4hGDJkiFsfMMD/FRV7WUPoOXnF+FWEPwu136pupo9hdXW1Wx8xYkRU3cxs1KhRbn3gwIFufe/evW591apVco0tW7a49f3795/0/0OXOrwX3+QAAMmiyQEAkkWTAwAkiyYHAEgWTQ4AkKySSlceP348mI4CcGaoJOH7PeaJHRRsZjZ48GC3XlNTE/XzVVVVcg2VPlSvdeTIEbceO/A49FjsMOtQolAlHJXDhw+79ZaWFvmchoYGt75nzx633jsReUJnZ+f7bN2peh/DQtO9fJMDACSLJgcASBZNDgCQLJocACBZNDkAQLJKKl0JoPTEpglVMlCl+czMdu/e7dabmprcukoZhmY7quSleq1BgwbJ14p19OhRt64Sgt3d3VF1M7Ourq6ouno/VKrUTCdnY+eYhpKg6rzKOhuUb3IAgGTR5AAAyaLJAQCSRZMDACSLJgcASBbpSgBBsbMrVdKuXz/939QqfajShGqbQtu6b98+t67So6qu9iM0mzO07x61H7GvYxafjg2toZKzsa8VSkoWeqf2Qs9LvskBAJJFkwMAJIsmBwBIFk0OAJAsmhwAIFk0OQBAsriEAChxoeG3sfF39Vqh+Hvsc9TlAKHId2j9PH4+y2vFDqAOvU/qMVVXg6ZDx7DQ6P37CQ1Pjj0XslxCoPReo729vaDn8U0OAJAsmhwAIFk0OQBAsmhyAIBk0eQAAMkq+XSlSuGEhojGpolw5oQSZ0qeyUB1/qjXUj8fWiM24ZhXIjIky3Niqc9Znmv35We5GPuh1lCDqftym0pNZ2dnQT/HNzkAQLJocgCAZNHkAADJoskBAJJVUsGTc84555TakCFD3J8leHJ2KEbwJLRG7Pig2KCK2ZkfrUXwpG/0ZcijL4/t2RI8mTVrVkE/V9ZztuwRAACR+HMlACBZNDkAQLJocgCAZNHkAADJoskBAJJFkwMAJIsmBwBIFk0OAJAsmhwAIFk0OQBAsmhyAIBk0eQAAMmiyQEAkkWTAwAkiyYHAEgWTQ4AkCyaHAAgWTQ5AECyaHIAgGTR5AAAyaLJAQCSRZMDACSLJgcASBZNDgCQLJocACBZNDkAQLJocgCAZNHkAADJoskBAJJFkwMAJIsmBwBIFk0OAJAsmhwAIFk0OQBAsmhyAIBk0eQAAMmiyQEAkkWTAwAkiyYHAEgWTQ4AkCyaHAAgWTQ5AECyaHIAgGTR5AAAyaLJAQCSRZMDACSLJgcASBZNDgCQLJocACBZNDkAQLJocgCAZNHkAADJoskBAJJFkwMAJIsmBwBIFk0OAJAsmhwAIFk0OQBAsmhyAIBk0eQAAMmiyQEAkkWTAwAkiyYHAEgWTQ4AkCyaHAAgWTQ5AECyaHIAgGTR5AAAyaLJAQCSRZMDACSLJgcASBZNDgCQLJocACBZNDkAQLJocgCAZNHkAADJoskBAJJFkwMAJIsmBwBIFk0OAJCsAX29Ae/153/+59bQ0HBSraysrI+2pu+pfe/p6SnylqBUxZ4jeZ47x48fz+21lNj969cv/r/bY9fI8jupf//+bn3w4MFuvaKiwq2HjvmxY8fc+uHDh99n6042YEB8W4g9r9S2mpm1tLS49Y6OjpP+/8yZM+3BBx9837VKqsk1NDTYa6+9dlIty0mbirx+gWX5UMaetHk25L58rb78j6os2xS7f3k2Jppc4VTjGDJkiFuvrKx066FjfvToUbfe1dX1Plt3sr5ucgcOHHDrra2tUWuc8MHtIACA5NHkAADJKqk/V5aVlZ3yp4BS/fenYvxZS/1pQq2d5c98ef2pJsv7lNd7m+efMbP8fF77Efu+htbO8895Sl/+Kbgv/wSv6qE/JXZ3d0etPXHiRLc+duxY+Rz1Z0ZVLy8vd+uh4zRo0KCo56j9bm5ulms8//zzbv3QoUMn/X/175y98U0OAJAsmhwAIFk0OQBAsmhyAIBk0eQAAMkqqXSl2ZlNLZbiBcAhKgkXexFulv1Ta+d5DEv1uHtCxzx2P2KTj3keJ7UfxbiIOos8E5x5HUf1OlmOobrA+ZVXXnHrtbW18rWqq6uj14+lkprqQvSBAwe69c7OTrnG7t273XrvyS1HjhyRr/FefJMDACSLJgcASBZNDgCQLJocACBZNDkAQLJocgCAZJXcJQRnUjEi68UYKJ3njTLVkNO8BjRnGS6sYu6FDmQ9nTWyDElWr6Xi1urnVT30/vXlff+UPIdA57ldeZ3TWYZfx56Hqr5v3z65RmNjY9TaSuhyGfUZjL2sIrRNsfe/ez98kwMAJIsmBwBIFk0OAJAsmhwAIFk0OQBAss7adGUondOXg3/zTB/GyjLQOTbRp9JVau1jx47JtfNKZGVJg8UOKg6db+Xl5VGvpYbZqp8Ppc3UMVTHXQ3MzZIejU1RZknaZnmtvJ4T+/NZhnhnSfMqsZ9ZJfTzxUii5pnONeObHAAgYTQ5AECyaHIAgGTR5AAAyaLJAQCSVfLpyjxnIsYmlvJMcOaZlopNAKoZiqHnDBo0yK3H3s4+S7oylFKLpdZQ+1FZWenWhwwZItcYO3asW6+oqHDrKl3Z3d3t1g8dOiTXbmtrc+tNTU1Rr3XkyBG5hjpWsfJ8X/tyRmwx1sjyOyyvVGKWWamx+xH6vVDoGoW+P3yTAwAkiyYHAEgWTQ4AkCyaHAAgWTQ5AECySj5dWYw7Gceu3ddi72qtZiuamY0cOdKtDx8+3K3X1dW5dZXm27Bhg1xbJf1USkylREPvk3qOSjgqWVKiKqE6ePDgqG2aNm2aXFu9H2re5VtvveXW33nnHblGS0uLW489hqHzMJTu9Kj3I8/5mHmKTSWW6u+eWFn2I88Urhnf5AAACaPJAQCSRZMDACSLJgcASBZNDgCQLJocACBZJX8JQV7Dlvtalviy2kcVsQ/F3JU9e/a49ebmZrc+evRotz5p0iS3fv7558u1N2/e7NYPHjzo1tUxDA0QVjF3VW9vb3frHR0dco2qqiq3rgYut7a2RtVDUX11CYG6fEFd6qEGbJvp/VCXQqhh1qFB4eoyBXWZifps9O/fX66hPh+xn808h8bn9fMhef6uzHPIvZLXoOl3Xy/XVwMAoITQ5AAAyaLJAQCSRZMDACSLJgcASFbJpytTSVFmGTQde+t4lTJU6bjQY4cPH3br+/fvd+uNjY1ufc6cOXLtWbNmufWNGze6dTXEt62tTa6hnqMSXCrJqAZZm5kNHTrUravEohqerITeP5U+VAOX1fFQiUgzfb6p7VLnYUVFhVxDnW/q/VBrZ0kYx342s3yWY3+PZfm9l1cisxi/c4v5e51vcgCAZNHkAADJoskBAJJFkwMAJIsmBwBIVsmnK/OU5zy4WFkSWSpBppKBal6hStSF1lcpNTWvUM1EfOutt+Taixcvduv19fVuXc2VVMlOM7Pdu3e7dZUmnDhxolufPXu2XGPfvn1uffv27W5dzVdU6cNQGvPAgQNuXR0rlVY8fvy4XKOystKtqxmjKl2p5p6a6bmW6jOgfj50rscqxWR3lgRnKc7/zTOJ+n74JgcASBZNDgCQLJocACBZNDkAQLJocgCAZH2g0pVKMebEZbkrcXl5uVtXaTcldFdrlYRTxyR2bmaISjjOmzcv6udD8wrVvqs0oUo4ZpkxOmXKFLc+duxYt67eb5XSNDN744033Lo6ViqJGpr/qe58PmPGDLc+ffp0tz516lS5hroT/XPPPefW1XzT0F2l1WMqwZlnWjGvhGOW31V9maIshYQq3+QAAMmiyQEAkkWTAwAkiyYHAEgWTQ4AkCyaHAAgWUleQpDXIObQ66g4soqzh6LNyqRJk9z6rFmz3LqKYb/88styDbW9KmKvhkCr+PvkyZPl2qNGjZKPedQxPHTokHyOGmDc2dnp1tUlBKFtPeecc9x6TU2NW1dDoNUgZjX82sxsy5Ytbl1d0vF7v/d7bj10WYp6TF2moC4hCK2hBmmreL/6efV+m+mhzqquPhtZhq0XI0qf12UKfT0EmgHNAAAUiCYHAEgWTQ4AkCyaHAAgWTQ5AECySj5dmSW1kyX9FEu9Vv/+/d16bFrRTA/yVYnFuXPnRq+xdu1at64G9qr9U8OIFy5cKNcePHiwW9+1a5dbV+lDtU1mOmWokn4jR45060OHDo1eo66uzq2r/R4+fHjUz5uZ7d+/362//fbbbn3z5s1uPZRKPHjwoFufMGGCW58/f75bV++fmdnWrVvd+pEjR9z6nDlz3Loa3GxmtnfvXreuPptZEtF9Ka9UYikkIvN0dr2LAABEoMkBAJJFkwMAJIsmBwBIFk0OAJCskk9XZpFXijKUGFLz7g4fPhz1WlVVVXKN7du3u3U1t++6665z61OnTpVr7Ny5062ruX0qSTh69Gi3PmbMGLm2StS99NJLbl2lDNWsRDOdRFUzKlWqVCU+zfQMRzW7UqUoldAx/NSnPuXWH330Ubf+v//3/3brofmYan6kSrWqVOKGDRvkGq2trW5dzUSdN2+eWw+leVevXu3Wt23b5tbV/uWZPsxz5qMSu0YxZlcWc84n3+QAAMmiyQEAkkWTAwAkiyYHAEgWTQ4AkKwk05XFmKN29OjRqLVVmq+6ulquoWYGqiTaCy+8ELVNZnr2oZoZqBKOav7fW2+9JddWaTs1Y1DdUVutbabTkopKm6r320ynO9WxUrNEVZpPJV3NdJJRzdpUKUqVmjXTM1TPO+88tz5u3Di3Hpqhum/fvqjnqLmZoSSqSgD/+7//u1tX6WaVDAzNusxzbm6s2N+HxZhdWcxZl3yTAwAkiyYHAEgWTQ4AkCyaHAAgWTQ5AECyaHIAgGSV/CUEpTpENEuM2KMuEzAza29vd+tqwK+Kv6vLAcx0RFvF39WlEJs2bXLrb7zxhlxbHSs1tFpF2dU2menov7p0Qv18fX29XGPOnDluXQ1oVmuoS0NC759aQ8Xl1WDjzZs3yzVGjRrl1lWMX12OMGvWLLnGxRdf7NbVZRXqspHQ5+/cc8916+ryhdhLeEJKcRBzqYr9Hfq+r5frqwEAUEJocgCAZNHkAADJoskBAJJFkwMAJKuk0pVlZWWnJIFUMig0lDevYaGhlE9suksl5EIDZa+99lq3rhJ1zzzzjFvfvXu3XEPth0rIqWTZoUOH3PqAAfoUU8k5lfhUrxVKV6rXUu+5Sgyec845co3x48dHrd3c3OzW1WDqyspKubY6fy688EK3fs8997j1bdu2yTXU+6SO4Y4dO9y6Ss2amQ0bNsytq/dcJY87OzvlGl1dXW5dHUOVml27dm302sVIOJ5tKUol7/3gmxwAIFk0OQBAsmhyAIBk0eQAAMmiyQEAklVS6cqenp5cbhOvXkPVVXpMpbHM9GzHSZMmufUbbrjBrauZfWY6qfnII4+49a1bt7r1trY2uYZKJqr0mqJScFnm0B07dsytq/dP/byZTmrV1dW5dTVfccSIEXINlUTds2ePW1dp15EjR7r1KVOmyLXV+6eOlXotlSo108fw9ddfl8/xhM5Dtb1q/1RyNaS7u9utDx061K2rWamNjY1uvaGhQa6tUsyxydWQPH53vt/aZ+N8TL7JAQCSRZMDACSLJgcASBZNDgCQLJocACBZJZWu7NevX8FpvCwJIFU/fPiwW584caJc4/d+7/fc+ty5c936hg0b3PqXv/xluYaaAajuWFxeXi5fSwndddoTm2oLzStUacJx48a5dZViVHMzzcyGDBni1tXdrtUaKplnpuc+qlmUKpmr9js0m1O9fyrNp+ZgtrS0yDXU+aZSouq1QvNm1dxHlWpV56F6/0KvpY6v+h3T0dHh1tVxMtN3olfySkqa5Zt8LOUUpcI3OQBAsmhyAIBk0eQAAMmiyQEAkkWTAwAkq6TSlcePHw/OIXyv0B2n1Wuo5KaaV/hnf/Zncg2VyLr//vvd+gsvvODWVbLTTO+Hmnen0pWhVJt6TKWoCn1/Tjh69Kh8TM0GVHeJVmnFUOJTJWRVCm/fvn1uPZSOUzMqq6ur3fqVV17p1tUMxVDSTr3n6rjv2rXLrb/55ptyDfUcde6qtUPnodoPtYaqh9K86ndGbW2tW1e/L9TsSjUP1UwnL9UxiZ11GRI7bzJ0vsWmK7OkRLkzOAAABaLJAQCSRZMDACSLJgcASBZNDgCQLJocACBZJXUJQVlZWcEDmkPRdBVbVQOBb7nlFrc+adIkucZ9993n1teuXevWVXxZDes107Hj0MBeT2hobV5UBDy0fyoG3tbW5tbVEN9QdLumpkY+5mlqanLr69atk89Rg4ovvPBCt66OSShir6jPixoirC4HUHWz+PNQnQuxw8DN9CUr6rUOHDggXyt2KLe6lEVdcjB9+nS5tnpvd+7c6dazHCslNpLf1wOduYQAAIAC0eQAAMmiyQEAkkWTAwAkiyYHAEhWSaUrPVkGfKpE1rRp09z6hAkT3Pqrr74q19i6datbr6+vd+tqP0IDj0eMGOHWYwfgqqSdmR5urJJz48ePd+squRpKdqoUnko4qlSiev/M9NBjlV5rbm526y0tLXKNrq4ut97d3e3WW1tb3boa6KyOU2jt9evXu3U1iFklV810MljtX+zg5ixrqGHdofNNnQsqgatSvocOHXLrKr1pFj8kWaUus7xPsandPNONsft9JvBNDgCQLJocACBZNDkAQLJocgCAZNHkAADJKql0ZVlZ2SmpG5UMCqUSlcrKSreubmevUlRmZldccYVbj52PpxJfZmaTJ09262p2Xnt7u1t//vnn5RqrV6926yq1V1VV5dbHjBnj1kOzSN944w23vmnTJreuZgmqZKeZPlYqsajSayo1a6ZnFk6ZMkU+x6POkf79+8vnqDToxo0b3bpK7YXmf6oErko+qs9sKOWnXkvV1TEJpbHVuatSu+rn1e8FlQo20wlglYhU76tKrprp9Gro/DnTipmiVPgmBwBIFk0OAJAsmhwAIFk0OQBAsmhyAIBklVS68vjx46cksFQ6J0tiSL2Wuptw6O68F1xwgVufO3euW1cpKpVcMwvfVduj0l2h5JxKZL722mtuXR33c845x62r+ZtmZnv27HHrKlmmZj6qBJ6ZTsKpVKt6P8aOHSvXUHeQV+lKNf9TrR2a+ajmkqrEsErnheZjKupcUPuRZY6pSkSrNUJJ2xkzZrh1NadVff7VZ1kdczO9f+p3kjo/Q4lvlYhWCWeVdg0lVPNKS2aZSZwV3+QAAMmiyQEAkkWTAwAkiyYHAEgWTQ4AkCyaHAAgWSV1CUG/fv1OibvGDmg98Tqe7du3u/UnnnjCre/fv1+u8frrr7t1dTmCurQgdJmCuiRg9+7dUdu0du1auYaK5YcGR3tUtFm9vpkegKui5mp48t69e+UaKsY/depUt66i3qFLIdSAZjXUWUXQVaw6dAzVkGt1TNSQ69DA89gIuqL22yx+OHV1dbVbDw3FrqmpcetqP9RlI2pweuhzFhvvV+9H6PeeOndj36c8hyqrc7qYg5v5JgcASBZNDgCQLJocACBZNDkAQLJocgCAZJVUurKnp+eUNI5KXYUSQyrRowb/trW1ufVQurKhocGtb9682a2ff/75bl2lrsz0cFqVulRDlUMDftX6sQNlVVJy69atcm01LDi0vTHbZKbPH/V+qAReaICxGoCtzkOVMlQJ1TVr1si11Xuuzh1VV8nV0GMqGaj2O5QMVOeCOj/VUGX1OmbxKUN17owePdqth4atq8fUfqh6nsOT1fEIvY56LDZFyYBmAAByQJMDACSLJgcASBZNDgCQLJocACBZJZWu9KgZbirZZRZOWHlC8yMVlQ5SSc0tW7a4dZXgMjPbt29f1HNU6kvN0zTTiT61HyoltmfPHreuZo+a6eScSuGpcyG0hkoGDhkyxK2PGjXKrYeScypdqZJlantbWlrc+osvvijXVueuOhdUsrOjo0OuobZX7V+WRLR6TNXV+6rOWzO9HyrJqH7HqPmfWdKVag7mpk2b3HpjY6NcQ70fWX6HxopNdmZJcGbFNzkAQLKiv8m9+uqrtnLlStuyZYs1NTXZkSNHrLy83Orq6mzy5Ml2+eWXy4n7AAAUU8FNrqury775zW/a2rVrraKiwurr623WrFk2cOBA6+7utoMHD9rKlSvtN7/5jc2fP98+//nPyz8DAABQDAU3uYceeshef/11++xnP2tXXXWV+7f9o0eP2jPPPGPf/e537aGHHrJPf/rTuW4sAAAxCv43uZUrV9oNN9xgixcvlv94PWDAAFu8eLFdf/319vzzz+e2kQAAZFHwN7nOzk4bPnx4QT87fPjw4EzGGFlmnKk5iipxtmPHDrce2geVAFKJSJVeC81pVMlHlahTd68O3ZFZ7Yea1aiSq6FkmRL7HLVNofdJzStVd9RWKVGVujQzGz9+vFtXyUCVHlUzKjdu3CjXPuecc9y6es/V+Ra6M3hs8lEJJYnVe6vq6jMQShKr93bixInyOR61H+rzaqaTsyqZq2aohpLg6v1Qv0Nj70puVtw7euel4G9y9fX1tmLFivdtXl1dXbZixYrgbegBACiGgr/J3XzzzbZs2TK7/fbb7aqrrrKpU6daTU3NScGTTZs22bPPPmvt7e129913n8ntBgDgfRXc5GbOnGlf+cpX7KGHHrJ/+7d/c78a9+vXz+bOnWsf//jH+SYHAOhzUdfJ1dfX25133mmdnZ22bds2a25ufvc6udraWps4caK8XxUAAMWWaazX4MGDbebMmXlvCwAAuWKsFwAgWVHf5FpaWuxXv/qV7dy504YOHWof+tCHbPbs2af83KpVq+yf//mf7Vvf+tZpb6CKuaoYtpkevqsuIVCx+P3798s11CUBKvobG8k30/uo/iSshtMOHTpUrlFbW+vW1WUYI0eOdOvqeITeJxVnV8dk7969bl0dczMd7z948KBbV9d3Tpo0Sa6h/qoxYcIEt64Syup8C0XvVdw7FGePpQYbq7VVZD0UP1eXPKjzR8Xl1WUCofXVwGX1GaiurnbroUt11Lmufr+pbY29bCP0WqFLBWJlec+LpeAmd/DgQfuf//N/2sGDB62qqurdSwUuv/xy++xnP3vSCK+uri55vRgAAMVScJP74Q9/aF1dXfY3f/M3du6551pXV5c99thj9pOf/MR2795tf/3Xfx38L2oAAIqt4H+Te+ONN2zJkiV27rnnmtnv7sH00Y9+1O6++27bt2+ffelLX5J/TgIAoC8U3OQOHjzojjaaPXu2/d3f/Z11d3fbl770JXlzUAAAiq3gJldXVyf/UXf8+PG2bNkyq6ystL/5m7+RcwEBACimgv9NbtasWbZy5Ur7kz/5E/fxESNG2LJly+x//a//Zb/5zW8ybUxPT88p6SGVAAqljNRzVEpMpavUwGMznVgcO3Zs1DaF/oOgs7PTraukphp4HEraqTXU4N/rrrvOratByKtXr5Zrq8HD6j+m1LZefvnlco1rr73WravU3qZNm9x6a2urXEMly9Qw3dghyeqcMtNJW7VNao1Q0i52kK/6bIaGC6v3QyVR1WdZfTbMzLZu3erWx40b59anT5/u1seMGePW582bJ9dW/5SjjpXaP/UZMPvd9cueLEPu+1LeicyCv8ldeeWVVlVVZW+99Zb8maqqKvvyl79sF154YbBBAABQDAV/k5szZ4599atffd+fGzRokP3VX/3VaW0UAAB5YOIJACBZNDkAQLJocgCAZGW6C8GZUlZWdkqSSyVtQgkcNZdQJRlVUnLWrFlyjT/+4z926x/+8Ifd+k9/+lO3/sorr8g1Ym9blCWVpBJymzdvdusqZTht2jS3HkqDqVmNaiScShlefPHFco0ZM2a4dTWzU809VXUznbZTqTaVAFRhLTUX1EzPS1SJWpXmC6WV1RqqrtKjofNTpQnV3E6V+AzNglX72NTU5NbV9qoUY319vVxbvR+xs3nfOz6xt9jPf5bfF6U8o1LhmxwAIFk0OQBAsk7rz5WdnZ22b98+6+jocL/GerfhAQCgWDI1uba2Nrv//vvtxRdfDP4t/+GHH868YQAAnK5MTe473/mOrV692pYsWWKzZs2SNxcEAKAvZWpy69ats+uuu85uvvnmXDfGm12Z5Q65KpnU0tLi1g8cOODWd+/eLddQCTm1Xc8995xbVzMfzfQdr1WCTM2uDCWf1GNqhuO6devc+nnnnefWlyxZItcePny4W1fzLtW2qju+m+n3SaXa5s+f79az3J07NgGoEobqju9mOukXuiO7R22rWfy8S7V26M7Z6txVVIIzJPYO2er9UPsRSj6qxLBKH6vzLTRjtBgzKvNKUYa2tc9mV77XoEGDbOTIkbluCAAAecvU5K688kp76aWX8t4WAAByVdCfK3tfGHzZZZfZ+vXr7Z577rFrrrnGhg8f7v65Y+rUqflsJQAAGRTU5O6880752KuvviofI10JAOhLBTW5W2655UxvBwAAuSuoyS1atOgMb8b/0ztZkyUxpJ6jUm0qgdfe3i7XWLVqlVtX8xjfeecdt67ScSGxyblQElWl6lSCTH1zV0lQdYdxMz3PT70faiapOrZm+q7PU6ZMiVo7y9xF9Rx1XqmfD83/VOd67NzTULpSPaa2V21TaI3QHb096pwOJTjVMVGfQZVwVNs6ceJEubZKRarUZSjNq4T23RO6U3us2JmWWRLfWWUKnhw7dkz+gjL73S+vUNQVAIBiyNTkHnjgAbv77rvl43fffbd9//vfz7xRAADkIVOTW7t2rV166aXy8YULF9qaNWsybxQAAHnI1OSam5utrq5OPl5bWyvv0QQAQLFkanJVVVW2a9cu+fjOnTszBSoAAMhTpiY3f/58W7FihZtq27x5s61YscIWLFhw2hsHAMDpyDSg+aabbrK1a9faXXfdZRdeeOG70dnt27fb6tWrrbq62m666abo1z1+/PgpqUwViw3F4hUVTVXDXkNRfTU0V9XHjBnj1kMpVRXxVcdERbRDx0qtoV5LxbCfeuoptx4a/3bBBRe4dXWph7o8Q11aYKaHN6tLCNSQ3dAx7OjocOuxEXT1H4ZqgLiZ2Ztvvikf86hByKFLddTnI3b4dSgWrz5rsZcjhNZQ83ZHjRoln+OJHUwdWluJvTwjRL1P6rNfjEHPxZSpydXV1dnXvvY1W758ub388svvXjM2ePBgu+KKK+wTn/hE8N/sAAAohsx3Bq+trbVbb73Venp6rLW11czMqqurc7+QDwCArDI3uRPKysreDZnQ4AAApSRzk9u/f7/96Ec/sjVr1pz0TW7BggV24403cr85AECfy9Tkdu7caV/60peso6PD5s6da+PHjzczs127dtkzzzxjq1evtmXLlsm5gQAAFEOmJrd8+XIrKyuze++91yZNmnTSY9u2bbNly5bZ8uXL7Y477oh63X79+p2SUMryJ9DY56hUlBq8a6YTjirJdOWVV7p1leYzM9uwYYNbV2k3lYoKDW5Vx6qqqsqtNzc3u3U1RPjEfwB5VJpQraGSq6F0pRocrVKXar+zpCvV+1RdXe3Wa2tr3fof/MEfyLVbWlrcuhrGoK5fVdtqpj8fsQnH2AHCodfq6upy67HDy830OaLWVue6Oj/N9Od86NChbl2lmLMcQ/U+ZUljK+p3T5akZkkMaH7zzTdtyZIlpzQ4M7NJkybZtddea+vXrz/tjQMA4HRkanJHjx4N3hpj0KBBwf8yBACgGDI1uSlTptiTTz7pXsh86NAhe/LJJ23q1KmnvXEAAJyOTP8m97GPfczuueceu/32223RokXvBkx27dplTz/9tLW1tdlnPvOZXDcUAIBYmZrcnDlz7M4777QHH3zQfv7zn5/0WH19vd166602Z86cXDYQAICsMl8nN3fuXLv33nvt4MGD797CfeTIkTKplJVK+oRSVGq2XGwCKJQMUo+pVJtKV1144YVyjddff92tq2Oitil0l3a1XerfVNVcSTWH8mMf+5hc+8TM095ee+01t67SrioRaWbyMhY1wzHLHe1VCk+do+r9U8c2dCnO3Llz3fqzzz7r1lUqMTTzUYlNXaq6mT531XseWzfTqUj1nBPX//bmDaY3M3vmmWfk2ps3b3brw4YNc+vq2IaSh7HzP1VSU820DL2WkiUpmffszNOeeFJTU5N7YwMAIA+Zm1xra6s98sgjtmbNmpO+yS1YsMBuuOEGGh8AoM9lSldu377dvvCFL9hjjz1mlZWVtnDhQlu4cKFVVlbaY489ZnfccYdt27Yt720FACBKpm9y999/vx0/ftzuuecemz59+kmPNTQ02Fe/+lV74IEH7Mtf/nIuGwkAQBaZvsk1NDTY0qVLT2lwZmbTp0+3JUuW2MaNG0974wAAOB2ZvskNGzYsmMYqLy+XqaHgxgwYcMrrqnWyJIBik3OhZJBaQ81dVHfIDl1qodJosXfzDr0X6viqdOXkyZPd+n/7b//NravUpZm9e7Pd3h5//HG3/vbbb7v1iy++WK5RX1/v1mP3O8vMwPb2dreuUpQqJRpKJap5l2omYpY7aqtzPXZOZCg1pz5rqp4lfajmdsbO81Sp59/85jdybeWiiy5y6+r9CJ0L6vebSlCr8zBP6j3P8rs1q0zf5JYuXWpPPPGEOxi3qanJHn/8cVu6dOnpbhsAAKcl0ze5np4eq6iosNtuu80uueQSGzNmjJmZ7d6921atWmVjxoyxnp4e+8UvfnHS866//vrT32IAAAqUqcn94Ac/ePd/P/fcc6c8vm3btpN+5gSaHACgmDI1uW9961t5bwcAALnL1ORGjhyZ93YAAJC7goMnDQ0NMi3WW2Njoz399NOZNwoAgDwU/E3ui1/8ot122212xRVXmNnv4tGf+9zn7K677rLZs2ef9LMbNmywb3/723b11VdHbUxFRcUpcd7YIbBmZh0dHVHrFmOIqIq/hy4h+NCHPuTWX3jhBbc+ZMgQt64ixGa/Cwt5VJz9xhtvdOuXXHKJWw/FlF955RW3rvZPvda0adPkGqNGjXLr6j3PMrRWDfhVke49e/ZEvU51dbVc27uno5m+hEANKQ6dz2o/YgdQZ7kMQ71P6pwOXQqhzgU1rFtNbVLDrzdt2iTXnjVrlluvq6tz6+pzGfq9Fzv4O8sw8lhZfrdmeU5IpksIzH73oeju7pYHFgCAvpa5yQEAUOpocgCAZNHkAADJivqX4MbGxnfvcHviH7x3795tlZWVp/wcAAB9LarJPfzww/bwww+fVLvvvvty25jDhw9bV1fXSTWVosoyoDk2tRP6eZXiUgm51tZWt75z5065xic/+Um3ftVVV7n1LVu2uPV169bJNXof7xPUIOYJEya49dhkl5lOg6o0Ye//mDph4sSJcg01ZFe9TyoxGEqoKuo8VAm5Ezcf7i10Hqp03qRJk9y6Su01NTXJNVQqUh1bdayyJAPV50z9vDoeZmYjRoxw6ypx+uqrr7p1dXmUOh5mOn08fPhwt65+L6htNdODptWxUvUsg7TVc7L8Ls47XVlwk7vllltyXRgAgDOt4Ca3aNGiM7gZAADkj+AJACBZNDkAQLJocgCAZGW6C8GZ0t3dfUoaTyWW8r5FeuwaKt2pEmQqMbR+/Xq5hkpR/smf/IlbV4nB3/72t3KNJ5980q2r2YcqEendJd4sfAxnzJjh1v/Lf/kvbl0d89BsxwMHDrj10aNHu3WVrgylRGPnq6q6SrupY25mNmzYMLdeXl7u1lXKV6UuzfS+q7Sr2j91nELPUelKdX6qVHDoOW1tbW5dpV3Vts6dO1eurdKV6vO/atUqt55l3qT63GRJV+alGGucwDc5AECyaHIAgGTR5AAAyaLJAQCSRZMDACSrpNKVPT09p6RuVJooNAcvy7qeLDPUVIJMJR9DqbaXXnrJrd90001uXd3N+5prrpFrqLslq+OuZu1luaP2+PHj3bq62/XevXvd+v79++Ua6m7N6r0dN26cWw/dcTo2FTl27Fi3ro55KF2p3nN1TDo6Otx66H1Sd85Wnxt1PFQa00ynQVVyVs3mHDNmjFxDzdRsb2936+pcv+yyy9x6aP9UWvJXv/qVW1eJVpUQNdNzLWN/V+b5uzWLvJOXfJMDACSLJgcASBZNDgCQLJocACBZNDkAQLJocgCAZJXUJQRlZWWnRLtjb6v+fo/FyHIbeBUDVxH70BpPPfWUW//JT37i1j/60Y+69a6uLrmGWl/FoVWEWe1faKCsekzF9dW2qiHeZjoyr2LjKoatYvRm+lxQdRVlV8c2dImEGvC7cuVKt7569Wq3XltbK9dQg7TVOaKOlYrkm+lLWdRlJjU1NW49NARaDetWl6a8+eabbr2hocGtq3PNTH8+1MBsde6o89MsfnhzlkukijlYOS98kwMAJIsmBwBIFk0OAJAsmhwAIFk0OQBAskoqXelRCSA1BNZMDxiNHcScZ5JIbW9oGGpbW5tb/8Y3vuHWX3nlFbc+ZcqU99m6U6lEnUoAqkHBKlVmpofyquTc4MGD3boa4mumB/mqNdT2hlJ7apiuOq9UelS9zr/+67/KtTds2ODWGxsb3XpTU5NbVylGM7Np06a59YkTJ7p1laIcPXq0XEMNoVbHSg08V0lJM7Mnn3zSrT/66KNuXQ33Dg2zVtR5pX4vqER06DxUn6dQ+jhWlkRmLAY0AwBQIJocACBZNDkAQLJocgCAZNHkAADJKql0ZU9PzynJGpXmCaUS80rn9HWSSK2/b98+t/7jH//Yravko5lOJl500UVu/fd+7/fc+vnnn+/WQ+lKlSyLTR+qpJ2ZTsKppKY65mrtEHWOqhmDW7ZsceubN2+Wa9TV1bn1K664wq2r92PChAlyDZWuHDlypFtXCdxQMlAlANXczpdeesmt//KXv5RrvPbaa2790KFDbl3N5lTHUCVXzfT+xc66Df1OUp+n2N9jWX5/9mVy/f3wTQ4AkCyaHAAgWTQ5AECyaHIAgGTR5AAAySqpdGVZWdkpibQsdwYvhrzSRKGUaGz6UAklA3fv3u3Wf/GLX7j1V1991a1fc801bv2SSy6Ra6sUnkqcqWO7fft2uYaa7Th79my3Pn/+fLceSqiq5JyaP7hjxw633tzc7NZVijG0hkoGnnfeeW5d3ZnbTM+VjN2m0F2tX3/9dbf+H//xH2591apVbl3d8d0sfg7uwYMH3brav9BMy9jfF1lm3eYlS6o89jmhny/0WBW6Jt/kAADJoskBAJJFkwMAJIsmBwBIFk0OAJAsmhwAIFllPX2dxX+Pa6+99pQocZbNy2sgaZ4DmvNcI8+hp7ERZhXvV2pqauRjKrauBgKPGzfOrauot5ke8FteXu7WFy9e7NYvuOACuYby9ttvu/VXXnnFrdfX17t1dTmAmdlzzz3n1tVQ51mzZrn1c845R66hLmFQl06o8/CNN96Qa6hLAhobG926Og9DnwF1KY3aD1VXQp/lYgxJjv29UIwB9Hnas2fPSf9/wYIF9vLLL7/v8/gmBwBIFk0OAJAsmhwAIFk0OQBAsmhyAIBkldSAZrNTk0DFuH16MdKKWdbIa7tCP68Gvvbv3z+XbWppaZFrq1Tk1q1b3fqwYcPcemhorUrhdXd3u/XW1la33tDQINdQA7NVwlG9lkr/XXbZZXJtlQadOXOmWx80aJBbD6VmN27c6NbVcG/1/u3du1euoY67Svmq5KN6X830Pqr3rxjp6ljFGJ5cqhjQDABALzQ5AECyaHIAgGTR5AAAyaLJAQCSVXLpykITM6U6VzJWX6+h0muxx0TVVXItRL1We3u7W1dJ0NBrqXSemoX32muvyTWqqqrcemhup2fdunVuXaUVzcyGDh3q1tWcz4qKCrfe1tYm11ApUbVdhw4dcuvqXDMzO3LkSNRzVFIydK6rFK5aoxifzdjPWZY0dinKI7lOuhIA8IFHkwMAJIsmBwBIFk0OAJAsmhwAIFkll67sC2dTKilveSVL1euEEnWKWlvNJVTJPLP8EnWhmYhqJuOBAwfcupofOWCA/3Hcvn27XDv2btcqiarWDq2h7q6ujlVoxmhs2i7LZza0fh7yTD5mSR+eTXcAL+YMTr7JAQCSRZMDACSLJgcASBZNDgCQLJocACBZpCszOpuSTCF5bW+es/Zi5xJmmc0Zu72h/VDzOVXCUaVBVYoxz9SeSj6G7gyuUolq//JM2p5NQu/FmU4xh16rL39XZVm70OcwuxIA8IFHkwMAJIsmBwBIFk0OAJAsmhwAIFk0OQBAsriEIKNSvFQgj1vK571G6PXVYypqnmcUWq0RO9A59Jgahqxk2b/YfVf7l2V4sXpOMYYL53muF2M49Jm+VKcYa2dxJt8/LiEAAHzg0eQAAMmiyQEAkkWTAwAkiyYHAEhWyacrizFcNJU1+lKW/ciSsDrTa8QOdDbTKcPYY5JlAHUxqGMYGupcilL/DJaiPI856UoAAHqhyQEAkkWTAwAkiyYHAEgWTQ4AkKyST1cWI/nEGqW1Rp5r5zU7L/Tzec3/7Mtjm2fStRgzOLO8r6Qoiy/P94l0JQAAvdDkAADJoskBAJJFkwMAJIsmBwBIVsmnK1G4UkztZUFKtLTWLsXZrqW4TR9ksceK2ZUAAOSAJgcASBZNDgCQLJocACBZNDkAQLJocgCAZHEJQUKINp++voymK6Ua+1dSifHzeSpcXoPQQ6+V9f3gmxwAIFk0OQBAsmhyAIBk0eQAAMmiyQEAkkW6ElFSH1qbSmovdo1QCi6v1wq9Tmw6L8saZ/rczfMY9qVSSER6smyXGd/kAAAJo8kBAJJFkwMAJIsmBwBIFk0OAJAs0pWIcjalxFBasqQPizETMS99PbMzr/RoljXypNbv169fQT93yvNOe4sAAChRNDkAQLJocgCAZNHkAADJoskBAJJFurJI+vKO0305z68YijEzsK9nO+Ylz3MkVp77lyV1GfucPBOfea2RRZ7nW6HJxxOOHj0atU1nAt/kAADJoskBAJJFkwMAJIsmBwBIFk0OAJAsmhwAIFlcQlAkxYiH5xkJPpuU6rHNK7rdl7H4PBVjQHMxPgPHjx/PbY3Y/ShG9D7L+6QuFVDHSl1yYGZWVVXl1ru7u0/6/wMHDpSvcdJaBf0UAABnIZocACBZNDkAQLJocgCAZNHkAADJSjJdmcLQ4SxS2e88E2dn074X4/0bMMD/yPdOrr3XsWPH3Hpew3pDr6X079/frWdJH+Z13EOpS7W9sUnNPNOjWfZbJRoHDRrk1qurq916fX29XGPKlClufc2aNSf9/+nTp8vXeC++yQEAkkWTAwAkiyYHAEgWTQ4AkCyaHAAgWUmmK8+mRF2eUtnv2P0o1bmLWV4r9vVjE3Iq4RjaJvWYei2V4FQJPDM9r1C9llo7NBNRvVaWWZSxrxO7htrWELXvql5RURG99rBhw9x6bW2tWx8yZIhbP3TokFyjd4ryhNWrV5/0/0OJ4PfimxwAIFk0OQBAsmhyAIBk0eQAAMmiyQEAkpVkurIUZziW4jalohizK7MkHLO8VuzPq9SemjfZ2dnp1lUKzsxs4sSJbn3SpEluvaamxq2rNJ+ZTkt2dHS4dTULMpQMVHMX1drqGB4+fNith84D9VqhNKhH7XeW56jzSm2rmVlXV5db37lzp1vft2+fW29tbZVrHDlyxK33PnfV+9Ab3+QAAMmiyQEAkkWTAwAkiyYHAEgWTQ4AkCyaHAAgWUleQlCKsfzYW9CHnoOT9fWAZiWvSwVCkW71nLq6Ore+YMECt37BBRfINVT0v7m52a23t7e7dXX5gpnej8rKSreuYvGhob0qcl5oZP396ipebxb/+Y+9tMBMXwqh6mq/Q8OT1WPqHA2du4o6Jr0vDyn0cgq+yQEAkkWTAwAkiyYHAEgWTQ4AkCyaHAAgWSWVruzu7i546GaWVKJKLGVJ56nnxNaRLnWO5pmoU8OQ1VBllQz8+c9/LtfYs2ePW1epPZV6C6Xh1KDp2J9XiUEzvb2xa2R5n2LFnjtm8ccwy+/Ds/H3Ht/kAADJoskBAJJFkwMAJIsmBwBIVkkFT2bMmFHwz2YJnuT5j6Nn4z/AojTkeZf4oUOHuvUxY8a49UGDBrl1NQYs9Jga2aQCJqHARmxoQh3D0Fiv2BFTZ1vwJK871OcZPMlC7UfvkWLnnHNOQa9X1pNlKB8AAGcB/lwJAEgWTQ4AkCyaHAAgWTQ5AECyaHIAgGTR5AAAyaLJAQCSRZMDACSLJgcASBZNDgCQLJocACBZNDkAQLJocgCAZNHkAADJoskBAJJFkwMAJIsmBwBIFk0OAJAsmhwAIFk0OQBAsmhyAIBk0eQAAMmiyQEAkkWTAwAkiyYHAEgWTQ4AkCyaHAAgWTQ5AECyaHIAgGTR5AAAyaLJAQCSRZMDACSLJgcASBZNDgCQLJocACBZNDkAQLJocgCAZNHkAADJoskBAJJFkwMAJIsmBwBIFk0OAJAsmhwAIFk0OQBAsmhyAIBk0eQAAMmiyQEAkkWTAwAkiyYHAEgWTQ4AkCyaHAAgWTQ5AECyaHIAgGTR5AAAyaLJAQCSRZMDACSLJgcASBZNDgCQLJocACBZNDkAQLJocgCAZNHkAADJoskBAJJFkwMAJIsmBwBIFk0OAJAsmhwAIFk0OQBAsmhyAIBk0eQAAMmiyQEAkkWTAwAkiyYHAEgWTQ4AkCyaHAAgWTQ5AECyaHIAgGTR5AAAyaLJAQCSRZMDACRrQF9vwHt98pOftA0bNhT0sz09PWd4awAApWrWrFm2fPny9/25kmpyGzZssDVr1hT0szQ5AMD74c+VAIBk0eQAAMkqqT9XDhs2zIYPH35SraysrI+2Jkz9uTTPP6PGvlaWtc/0GqGfL8X9O9OvUyyleGw5Fz54a+Spdy8otDfwTQ4AkCyaHAAgWTQ5AECyaHIAgGTR5AAAySqpdOXAgQOtvLz8pNrZlgACgLNBngnVYiRtjx8/ftL/r66uLmgtvskBAJJFkwMAJIsmBwBIFk0OAJAsmhwAIFk0OQBAskrqEoKenp5kLxlQ+1WqA6gBpC3L756+/H3Ve+3el5spfJMDACSLJgcASBZNDgCQLJocACBZNDkAQLJKKl2ZMlKUAJBd74R6oUl8vskBAJJFkwMAJIsmBwBIFk0OAJAsmhwAIFmkKwEARZVlRnHWhDrf5AAAyaLJAQCSRZMDACSLJgcASBZNDgCQLNKVAICiKuYsX77JAQCSRZMDACSLJgcASBZNDgCQLJocACBZNDkAQLJocgCAZNHkAADJoskBAJJFkwMAJIsmBwBIFk0OAJAsmhwAIFk0OQBAsmhyAIBk0eQAAMmiyQEAkkWTAwAkiyYHAEgWTQ4AkCyaHAAgWTQ5AECyaHIAgGTR5AAAyaLJAQCSRZMDACSLJgcASBZNDgCQLJocACBZNDkAQLJocgCAZA3o6w0AkF1PT49bLysrK/KWAKWJb3IAgGTR5AAAyaLJAQCSRZMDACSLJgcASBbpSuAsRooSCOObHAAgWTQ5AECyaHIAgGTR5AAAyaLJAQCSRboS+ADJMuuS+ZilQ70XZrwfCt/kAADJoskBAJJFkwMAJIsmBwBIFk0OAJAs0pXAWSw2+ZglgdeXqb1iJDvPpvRoKW5TqeObHAAgWTQ5AECyaHIAgGTR5AAAyaLJAQCSRZMDACSLSwhQcmIj3cUYWpvnGn0ZWQ/th1KMY9ivX9/99/bZFMtnQHM8vskBAJJFkwMAJIsmBwBIFk0OAJAsmhwAIFmkK1FyYlNixUiV5blGMV4rNkUZ2qY8X0s5fvx4Lq9VjBRsXq+fBQnKeHyTAwAkiyYHAEgWTQ4AkCyaHAAgWTQ5AECySFcmJM+ZiHm9Vpa0W1/uh/r50GzFvJKBSpZjmGdCNfaYqOOR536o18ozXdmXyc6+lMp+nMA3OQBAsmhyAIBk0eQAAMmiyQEAkkWTAwAki3RlQkp1vuKZdral9mKFXl8lGfMUe9fu/v37u/XQfgwaNChqjaNHj7r1Y8eOyeeox9R2xaZmz6bPTEgq+3EC3+QAAMmiyQEAkkWTAwAkiyYHAEgWTQ4AkCzSlZbvrMSzTezdj2PnFeYpS/JRiU0MZpntqFKGee6H2i61f2qbBg4cKNdQ26Weo1KMau3Qaw0Y4P+KUunKrq4uucaRI0eiXkvV1Tb15YzYvF8rJXyTAwAkiyYHAEgWTQ4AkCyaHAAgWTQ5AECyaHIAgGRxCYERsfXkNcA4FNVXUXMV0a6oqHDrofi7ek53d7dbzxLjj6Wi7LH7bWZWW1vr1mtqaty6OuaHDh2Saxw8eNCtt7e3y+fEUnH92EtTysvL5WPqOKr3vKOjw62HLlNQ8or353lpQZ5rlDK+yQEAkkWTAwAkiyYHAEgWTQ4AkCyaHAAgWaQrMypGYqkYA1fVa6m6SsGpn1dpPjOzoUOHuvXhw4e79SlTprj1qqoquUZnZ6dbV/uh0oqDBw+Wa6ik5vbt2+VzPCNGjHDr6niEnqNShm1tbW69qalJrnHgwAG3vnfvXreuUokqVWpm1tra6tZVkvHw4cNuPZTmVe9hZWWlW1cJVXXuqH0w0/uu0qNqmHWeg9BjE9R5KmaCk29yAIBk0eQAAMmiyQEAkkWTAwAkiyYHAEgW6cqM8koHZUkyxaYuQ2uoFJdKkKnXUvMjJ0yYINf+0Ic+5NYvvvhit66ShBs3bpRrvP32225d7Z/a3kmTJsk1lNgZlaNGjXLrar/NdGIw9vxUx8NMv7cq+bhz5063vn//frnGvn373HpjY6Nb37JlS1TdzGzPnj1uvaWlxa2rY6vSrur9M9MJXLW2OndCn2X1nqvEqUpqMrsSAICzBE0OAJAsmhwAIFk0OQBAsmhyAIBkka4MyJJ8jE0mhWbt5ZV+Cu2Hmu2ojBw50q3Pnz/frV955ZXytS6//HK3rtKE6k7Ub775plxDHcOxY8e69dmzZ7v16dOnyzWGDBni1tVMxEGDBrl1NedTzWk004lF9VpqpqXaBzO9vXV1dW59/Pjxbj2U4FR37Vb7oV4rNINTnSe//e1v3fqTTz7p1t955x23rt5vs/jkrEquqtmjZvqzHJvGDv1+Ue9H6PdYzDa93/pZ8E0OAJAsmhwAIFk0OQBAsmhyAIBk0eQAAMmiyQEAksUlBAGhKGtet4gP3c5exXJVpFzFw8eNGyfXmDlzplufMWNGVF1FpOvr6+XaKnJ98OBBt/7iiy+69bVr18o11Pp/+Id/6NbVpQJZLsNQMXc1dHjXrl1uffPmzXLtAwcOuHUV9a6pqXHrofi7uoRAnW9qgLFa20xf0lFbW+vW1cDj0BqTJ09267//+7/v1v/iL/7Crf/0pz916/fdd59cW112oPZPfZ5C+6fOQzX8Wl2mEBJ7qYBSzCHQfJMDACSLJgcASBZNDgCQLJocACBZNDkAQLJKPl0ZO1w0y3OKsYZKu4XWUOm8MWPGuPU//uM/dut/8Ad/INdQQ3ZVglOl+VSy65VXXpFrNzQ0uPXXXnvNra9fv96tqzSmmR64PGvWLPkcj0qomZnt2LHDrbe0tLj1I0eOuPXW1la3HkrgqvNHJSKbm5vdekdHh1xDJRnVOT1ggP9rRZ1rZnpQsRoIrlKGKq1oZjZ06FC33r9/f7eutvfP/uzP3PpHPvIRufb//b//163/4he/cOtvv/22W580aZJcQx1Dtd8q8Xno0CG5hnpvlTxTlFkT7XyTAwAkiyYHAEgWTQ4AkCyaHAAgWTQ5AECySj5dmSWdE/ucLGuoGW6xCaCKigr52HnnnefWly5d6tavuuqq6G1SyUSVsFIzDlW68q233pJrq2SZmu2oqCShmdmePXvc+qOPPurW33jjDbcemhmojpU6Jiq5qlKUoUSbmh+pzk+1RmiO4f79+916W1ubW1fbG0qo7ty5061XVVW59SFDhrj1wYMHyzVGjx7t1tVMSzU/Un1m1VxXM7Mvf/nLbn3+/PluXc3B3L59u1xDpbHV/qk5rZs2bZJrtLe3u3V1HmZJritZk5p8kwMAJCv6m9yrr75qK1eutC1btlhTU5MdOXLEysvLra6uziZPnmyXX365zZ0790xsKwAAUQpucl1dXfbNb37T1q5daxUVFVZfX2+zZs2ygQMHWnd3tx08eNBWrlxpv/nNb2z+/Pn2+c9/PvinOAAAzrSCm9xDDz1kr7/+un32s5+1q666yv27+9GjR+2ZZ56x7373u/bQQw/Zpz/96Vw3FgCAGAX/m9zKlSvthhtusMWLF8t/WB4wYIAtXrzYrr/+env++edz20gAALIo+JtcZ2envONvb8OHD89019m+ohJAWe6Cq+b5qZl61157rXytJUuWuHV1F+Wmpia3rmZEmum01JQpU9z6hAkT3Lq6A7dK4JmZPfPMM25dzVdU6arQvEKVvFRJtL1797p19b6a6dmHsYkzNSMyS6pM7Z9aIzS7UqVd1fmmEpEDBw6Ua6jHVBpUJVdDSVuVJFbpUXVOq89GaDZndXW1W7/++uvduvr9+cMf/lCuoZKX6vM/c+ZMt64+42bh5KUnz3RlVgX/Fq+vr7cVK1a8b/Pq6uqyFStWyBMBAIBiKfib3M0332zLli2z22+/3a666iqbOnWq1dTUnBQ82bRpkz377LPW3t5ud99995ncbgAA3lfBTW7mzJn2la98xR566CH7t3/7N/fPCP369bO5c+faxz/+cb7JAQD6XNR1cvX19XbnnXdaZ2enbdu2zZqbm9+9Tq62ttYmTpwoJ2IAAFBsmcZ6DR48WP6jJQAApSK3sV7d3d3yzsYAAPSFqG9y69ats1/+8pfW0dFh559/vn30ox+1o0eP2re//W176aWXrKenx0aMGGF/+qd/apdccsmZ2ubcxQ6zDVGXWfzxH/+xW7/xxhvla40fP96tqxh4S0tL1M+b6Sivir/HDsa94IIL5NqLFy9261u2bHHrR44cceuhAcYq3h96jkfFz810bF1N/FGxalVXlwOExJ67ami0mY7Yq/NNfZ7U5Spm+hKC2M9m7IB0M71/sYO3Z82aJdcYMWKEW1eXHahLC0LDy//1X//Vrav3SV0CEhpGri7XUZf9qM9fSJb3MKTgT/qGDRvsq1/9qlVXV1t1dbX97Gc/s7a2Njt69Kjt3LnT/tN/+k92+PBhe/HFF+2b3/ym/c3f/A1/0gQA9KmCm9xPf/pTmzx5si1btszKy8vtX/7lX+yxxx6zc845x77+9a+/+1/GN954o/3lX/6lPfroo3bHHXecsQ0HAOD9FPxvclu2bLErr7zy3T9jLVq0yI4ePWpXX331SX/6GTJkiC1atMjefvvt/LcWAIAIBTe5jo6Ok/49ZujQoWbm/xvUyJEjg2OCAAAohoKbXHV19Un/+D5gwACbN2+eO5OtpaVFBhQAACiWgv9NbsqUKScN5xw8eLDddddd7s9u3LjRxo0bd/pbVyQqvRYa0Kya+KWXXurWVVpK3ZreTKeiVNJPzRVVw2HN9D6qVJRKZKm6Skqa6aHHaqCAGvyr1jbT71NoWLAnlFZUqc/YZJn6+VDaLDaRqfYjNEhbpXPVuRM7HNpMH8PYdGVotq4631SSWKUo1baG1l6wYIFbP/EXsd5UGlP9HjEz27dvn1t/9tln3bpKRIbON3Ws1LmrjnmW4fdZFdzk/vAP/9B27979vj/X2tpqTU1NMh4OAECxFNzkzj33XDv33HPf9+eqq6vta1/72mltFAAAeSjed0YAAIqMJgcASBZNDgCQrEx3IUiNSvoMGzZMPkfNqVPpSpWiUokoM7P169e79W3btrl1NUMxtB9qTp26znHz5s1uXYWS3pvI7W3jxo1uXaW7VLoyNHdRzahU6TU1gzOUrlSpQbW2eq3Ynw9RM0nVtobmY6rPh0quqvcplKhTKTz13qr9U69jpvdRpXnVuaBSiSp1GVrj/PPPd+vqszxnzhy5xic+8Qm3rvbj+eefd+sq1R2S57mr9H7P1TnQG9/kAADJoskBAJJ1Wn+u7OzstH379llHR4f7J6bZs2efzssDAHBaMjW5trY2u//+++3FF18M/s314YcfzrxhAACcrkxN7jvf+Y6tXr3alixZYrNmzZL/0AwAQF/K1OTWrVtn1113nd188815b88pf/ZUSbtQUkt9u1Tz1VTCUM2bM9N/ilUzAFUqUd1J3Ezfsbi1tdWtqxmVat6cmT5WBw4ccOsqeaX2O3Q3aJU4Vcky9f6F9k/dnVudPyqxpbYptL7aXpUYVOd6ngk1lZpVd8E209sVu9+hWZ4qFaneD3VMQscqr1mb6nVCKd/t27e7dZXyra+vd+uhY3jBBRe4dbW96vfLqlWr5Bqxd2RX71+WeayF9obeMgVPBg0aZCNHjszyVAAAiiZTk7vyyivtpZdeyntbAADIVUF/ruz9p7bLLrvM1q9fb/fcc49dc801Nnz4cPcr8dSpU/PZSgAAMiioyd15553ysVdffVU+RroSANCXCmpyt9xyy5neDgAAcldQk1u0aNEZ3oz/p9D5ZKEUlXqOuhu0SlF+5CMfkWuoNKG6E/bo0aPd+qRJk+Qa55xzjltXoR+132qunJlOP6qZmiqFp9YYNWqUXFulWlVqSiXwQnMX1WNqzqBKY4aofVfbG3sX5VCyU1EpWJXMDd21W+1f7N3VQ3Ml1Wupz7l6X0Op69hzQb1PaltDaT919/odO3a4dfW5Cc2hVWlXNR9T1V988UW5hjpWsbMrQ+dCoTMpC5UpeHLs2LFg5PjQoUPBnQAAoBgyNbkHHnjA7r77bvn43Xffbd///vczbxQAAHnI1OTWrl0rbyljZrZw4UJbs2ZN5o0CACAPmZpcc3Oz1dXVycdra2vl36ABACiWTE2uqqrKdu3aJR/fuXOnvFEfAADFkqnJzZ8/31asWGHvvPPOKY9t3rzZVqxYEZz7CABAMWQa0HzTTTfZ2rVr7a677rILL7zQJk6caGa/G0K6evVqq66utptuuin6dXt6enIZRqteQ0WxZ86c6dZD8znVwGVVV3/enTVrllxDfRvu6upy6yrx2tjYKNdQjx08eNCtq5i0iqCHYtWxg4qziI2Nqyh0ZWVl9Noqaq5i7mpYd2gAdWdnp1tX71/sJSBmej/UdoVeS4lNY6tjmGXwr/p9oc7PLMlxFYvftm2bW1e/L1Ts3yx+gLm6RCn0Vzj1u0cdkzyHi2f9vZCpydXV1dnXvvY1W758ub388svvTq0ePHiwXXHFFfaJT3wi+G92AAAUQ+Y7g9fW1tqtt95qPT09715gWl1dnfuFfAAAZJW5yZ1QVlb27tdbGhwAoJRkbnL79++3H/3oR7ZmzZqTvsktWLDAbrzxRu43BwDoc5ma3M6dO+1LX/qSdXR02Ny5c238+PFmZrZr1y575plnbPXq1bZs2TIbN25crhsLAECMTE1u+fLlVlZWZvfee+8pA4a3bdtmy5Yts+XLl9sdd9wR9bo9PT2nJGiy/Ak0drCqGsqrkkRmv2v0ngMHDrj1tWvXuvXQQNkRI0a4dZVeU+kjlbQz04NjVSpR1dUxD71/ocHKea2h0l0qXam2KZSuVENzVZpX/fyJ/1iMsX79ereu9lud66EBzepzE/s5C53rsc/Jc3B77Hmo1gjtn/rMqgHpu3fvduuhe3TW1ta6dfU+qdcaOnSoXEP9vlDHNs+kdFaZrpN78803bcmSJe4E/UmTJtm1114rP3wAABRLpiZ39OjR4LU7gwYNiv6vIwAA8papyU2ZMsWefPJJ98LSQ4cO2ZNPPhn8Wg0AQDFk+je5j33sY3bPPffY7bffbosWLXo3YLJr1y57+umnra2tzT7zmc/kuqEAAMTK1OTmzJljd955pz344IP285///KTH6uvr7dZbb7U5c+bksoEAAGSV+Tq5uXPn2r333msHDx60ffv2mdnvZj3W1NRk3pjjx4+fklxSqassM9FUWlLdgn7s2LHytVRaSiWc1M+r2XVm9u71h72pGYdVVVVuPcu/j6q0lNoPNbsulNpTswFVSk3N1MuSqFNrxM49NdNzBtX7oT4jag1vEPoJKrW7fft2t15dXe3W1ecsRKX21DkSWkM9JzZJHEraqufEzqLMkvhW55X6fDQ3N7v1UOJbfc7VMVTXMofSlbFpySzvU6GvVei2nPbEk5qamtNqbAAAnCmZm1xra6s98sgjtmbNmpO+yS1YsMBuuOEGGh8AoM9lSldu377dvvCFL9hjjz1mlZWVtnDhQlu4cKFVVlbaY489ZnfccUfwz3AAABRDpm9y999/vx0/ftzuuecemz59+kmPNTQ02Fe/+lV74IEH7Mtf/nIuGwkAQBaZvsk1NDTY0qVLT2lwZmbTp0+3JUuW2MaNG0974wAAOB2ZvskNGzYsmJQqLy+X8/lCysrKTkndxKbjzOLvXq3msam7LpvpO3rPnj3brQ8ZMsStq4ShmU5kqdfKcndeNblGHV+1hjpWLS0tcm2VHlXnlkoGquNhpve9o6PDratZglmOodoPdTd2Vf/1r38t11bJy9GjR0dtU+jzHHtHbVUPJepi55Lmkc57v7XVZyD2/Q69VuwdzrOsoV5LfW5CeYqz8XZqmb7JLV261J544gl38G9TU5M9/vjjtnTp0tPdNgAATkumb3I9PT1WUVFht912m11yySU2ZswYM/vd5OxVq1bZmDFjrKenx37xi1+c9Lzrr7/+9LcYAIACZWpyP/jBD979388999wpj2/btu2knzmBJgcAKKZMTe5b3/pW3tsBAEDuMjU5NQ4GAIBSUnDwpKGhQSbPemtsbLSnn34680YBAJCHgr/JffGLX7TbbrvNrrjiCjP7XdT6c5/7nN11112nxOY3bNhg3/72t+3qq6+O2pienp6CBy+HhnOqSPCRI0fcuhqGGhouPHHiRLceO86sra1NPqYGrqohreq1Qvuhjol6H2IHroaGQ6vtih2eHBqwW1FR4dbVfqhLIdRxMtOXQqi11c9v2LDBrW/atEmurY6v2g/1H6pZxvCp9yn2vA1Rn2UldoBwljXypI5VMS71UOdI6HewWl99PtTvhdD7pJ7T+3Ne6GDtTJcQmP1uI7u7uzPdDQAAgGLI3OQAACh1NDkAQLJocgCAZEVdQtDY2GibN282M7NDhw6Z2e+mnFRWVp7ycwAA9LWoJvfwww/bww8/fFLtvvvuy3WDeidrstw+PfZ29mqI8Pbt2+VzVCJr0KBBbl0l0UL7oUI9+/fvd+s7duyQr6Wo7VXHUNXV/qmhymY6fagSZyrBpV7HTL9P9fX1bl2lDIcPHy7XGDDA/xip7VXDodVQ89raWrm2OnfV+6QSjmqbzPJLH4ZeRx0rdX6qlF/os69+l6jnqM+mSgWH1lZDnVVdfQayvBfq/FS/Rw4cOCBfS+27OrZZfn8rWZKzZhFN7pZbbsm0AAAAfaXgJrdo0aIzuBkAAOSP4AkAIFk0OQBAsmhyAIBkZboLwZmS1+xKRaWf1MzHvXv3yteqq6tz62PHjnXrQ4cOdeuh/VWXYqgU5YnLOnobPHiwXEOluGKPb2y6KvSYmqmnZj56d6g/4cQNfXubPHmyW585c6ZbHz16tFxDrb927Vq3rlJtyrhx4+RjQ4YMcesqBXf48OGouln8HMUscxdj11afZZUkNItPV8amtFXC2EynCVVdvVZom2JnvjY0NLj1pqYmuYZKd8Yeqyx6v3+F/o7imxwAIFk0OQBAsmhyAIBk0eQAAMmiyQEAklVS6UpP1nllMdTcvlBSS80ynDRpkltXqSQ1e9BMz/OLvQNwKDmnXkvte+zdoFXi00ynElXaVb1W6M7n6q7v6v1QqUtVN7NTBpS/H5WazXID4th0ZWw9tF3qPQ+lDBV1HqrXUjMts/y+yGu+Yuj3hUo4q/SomqGqZl2axe/7+vXr3XroM6vE3gE8dGwL/f1W6OeFb3IAgGTR5AAAyaLJAQCSRZMDACSLJgcASBZNDgCQrJK6hKCnp6fgIZyhuKyK5cZGbEODcWfMmOHWq6qq3Ppzzz3n1l999VW5hop1qwHGKvobGp6qothqPyoqKty6ik+rmLmZjgDX1ta69erqarceGijb3t7u1p9//nm3rgYx19fXyzVUrFtdWqDev3379rl1NdzbTF9CoN4ndY6Ehierx1S8X12yEjoXVKRcPSf250PPUfuhLjNRQr9f1Lmujq16z7MMuVbnm7qEoKurK3qN2EsFQvH/Qp/DgGYAwAceTQ4AkCyaHAAgWTQ5AECyaHIAgGSVVLry+PHjpyRoVPIpS5JJvVbsIGQznWp74YUX3Pr3vvc9t75161a5hkp3jh07Vj7HE0oyxSY11WBqlfoaNmyYXLuurs6tqxSlSs5t27ZNrrFx40a3rhKAKiUa2g+1vfPmzXPru3btitqmUKJOJTvVe67O21AqUSU18xwCHZuWVJ/l0LmunhObrsyS7FSPqeSzep9Cw6/VvqvfMZs2bXLrxRhynWU/GNAMAEAvNDkAQLJocgCAZNHkAADJoskBAJJVUunKnp6eghM0oXSOol5LpSvXrVsnX0vNOHzttdfcukr5qRmRZnofVfJKzbsL3c5epStbWlrcujqGI0eOjNomM51YVGk+ta2DBw+Wa4wYMcKtL1y40K0vXrzYrYfSlep9mj59ultftGiRWx8zZoxbb2xslGurRGZHR4dbV3MJQ+9T7PzYLPNmYz+biprFaqbTkiq9qn5e1VUy10zvn0qcqvcjdAxVklHNaVXnVWg/YmeJKnnMriRdCQD4wKPJAQCSRZMDACSLJgcASBZNDgCQrJJLV/ZOD2WZXanE3um3oaFBPjZz5ky3rhJy6m7Xo0aNkmuoOZEqXanuRK3SimbxdyxWd9pWKbHQ2mo/lNBsQGXatGlu/UMf+pBbV+9fKKF68ODBqG1Sx0StHTqGzc3Nbr3Q+X+FUPMVVQpOzdMMJaLVY2qNLJ//2DVi05ihVKJaIzYpHfodtn//frf+9NNPy+d41Pttpj+DsYnaUBozSzo3hG9yAIBk0eQAAMmiyQEAkkWTAwAkiyYHAEgWTQ4AkKySuoTAkyU2quKpKhqrYtUqLm+mB8eqAb9qkO7mzZvlGiquGzt8NxRBVwNt1eDotrY2t5413utRlyO0tra69VCsevz48W5dDXV++eWX3XroEgJ1LqjIujq2WeLWKq6v3ld17qjh12bxw4UVta1m+lip91Z9lkOXKajjmGXYuyf0GVDvx8SJE916XV2dWw+9T0888YRb37Bhg1tX72voEgL1HHVs87wEpPd2hbbzvfgmBwBIFk0OAJAsmhwAIFk0OQBAsmhyAIBklVS6sqys7JQ0jkrhhBJR6jmxA5pDqcSamhq3rtJ8ixYtcuuh/di3b59bV6k29Vqh/VBUUlMNoVXJuerqarmGGlqtkqhqv9WwbDM96HbTpk1uvbGx0a2H9kMdE3XcVWpW/XzseRt6LfU+hYZMq0SfOkdUklAlWs30PsYOSc4z5avWiB3obGY2btw4tz537ly3rs4plZQ0M3vsscfcukoGZ0lXKrHJ4FBiuNA1Cn2v+SYHAEgWTQ4AkCyaHAAgWTQ5AECyaHIAgGSVVLry+PHjpyR+stwKXSWTVKotdh6bmZ4/GLtNlZWV8jnDhw936yqlptJdKu1mpudBqhmHantHjx7t1qdNmybXVokzdaxU6jI0E7Gpqcmtx87zC6Vg1fuh0nlq/1RaMUSd06qeJX2ojklsOi+U2otN4am11bF9v/Vjfl59nkaNGiVfa/78+W59xIgRbn3v3r1u/Wc/+5lcY+PGjW5dHSt1joRkSUXmpdDe0Bvf5AAAyaLJAQCSRZMDACSLJgcASBZNDgCQrJJKV/br1++UFJtKDIaSNbFpSZWcC6WlJkyYIB/zqDtqt7S0yOeoFNeUKVPcemyq1EzPdlTbpWYcDhs2zK1ffPHFcm31HPWeqzu1h+5QrRJyKpGp5jSG1lCpSHVexSYiQ2urx9RrqWM7ZMgQuYYSSu16QinY2DmRSmh+pPp8qLraJnXXbpWgNNOfWfX+/fKXv3Trjz/+uFxDnYfqzvWlKs/5o2Z8kwMAJIwmBwBIFk0OAJAsmhwAIFk0OQBAskoqXVlWVhacEdj7Z2Op1KVKUan0X4hKAKq5i2ptM52WUnPt1PzILHcGVzMqVbpSbVMo2anmf6qEo9qPUBorNl2ZJeEYO3ex0HP8hFA6Th2r2HmToVRibMI59k7pZvHHSq2dZ7pSJY/PPfdctz5jxgy5tvLMM8+49R//+MduXc2aNdPnbuzMztDnqZRmV6pzuTe+yQEAkkWTAwAkiyYHAEgWTQ4AkCyaHAAgWTQ5AECySuoSAm9Ac96v71Hx8J07d8rXeuqpp9z6VVdd5dbHjBnj1ufNmyfX2Ldvn1tXsfFdu3a5dXVZQxaTJk1y6yp2vG3bNvlaw4cPd+vq8gUVDw/FmtVlCirOrs6RUPxdPaai6aFBxZ7QZSbquKtzRB1DdbmKmb6EQb2W2t5QvF+9h+o5sXUzfdzVeagGLs+ZM8eth87Dl156ya1///vfd+tqQHro3FHveegyHk9oP9RjeQ9VzhPf5AAAyaLJAQCSRZMDACSLJgcASBZNDgCQrJJKV5aVlZ2S3lGpnVACSA3uVMk59VoqrWhmtmLFCrfe1NTk1hcvXuzW6+vr5Rp1dXVuXSWvtmzZ4tZ3794t19izZ49br62tdesTJkxw6yNGjHDr77zzjlxbpT5nzpzp1lVCNZSoGzdunFufPXt29GspgwYNcusqXamo8zOUfIwdktzR0eHWQwOoVVpSpWBj06ZmOgGo0oTqmA8ePFiuMX78eLeu0pKTJ09262rY+urVq+XaP/nJT9z6gQMH3Lo6VurzGtqu2KHKWZKSsb+n81ij0NfgmxwAIFk0OQBAsmhyAIBk0eQAAMmiyQEAklVy6cpCZ1dmuUW7eo5K1IVur37o0CG3/vzzz7v1HTt2uHWV8jPTiUVl7969br2xsVE+RyUcVQpPHcNjx45Fr7127dqo+ty5c916aP6nSmRedNFFbn3atGluXaXgzMza2trcemySUaXjssxzjU0Yh1Kl6rVUilIlHNU5ElpDJTjVZ2PGjBlyjalTp7p1tb3q3P35z3/u1p955hm59sGDB926+vw1Nze7dXWOZJElua7EPif083nPweSbHAAgWTQ5AECyaHIAgGTR5AAAyaLJAQCSVXLpyt6pmyxJn9Dre0IpylhqBt+mTZvc+tatW+VrqcSbSh+p/QjdGTh2nqfajyzzChX1nCeeeMKtX3jhhfK1/vN//s9uXSUy1axLNcvTTCfk1IxRdQdn9fMqyWsWf3zVa6lZkGb6fFMzLdW8ydBnubq62q2PGjXKrauZrypNa2bW2trq1lUiWqUoX331VbceSo+qRK1KUarXypK0VfL83Zon0pUAABSIJgcASBZNDgCQLJocACBZNDkAQLJocgCAZJXUJQRnWuzQ2ixDoFWkW0WCQ7FjFf2PXVtFut9vfc+RI0fcujq2oZiyeo6Kpqv4u4rwm5nt37/frV9++eVufc6cOW598uTJcg21vWqIsDqGw4cPd+sq+m6m910NjVaXKahh0mb6PVSDjdVQ5aFDh8o1xo4d69bVMVTb9PLLL8s1fvGLX7j13/72t25dHVv1uezq6pJrq0sI1O+Y2Et7oPFNDgCQLJocACBZNDkAQLJocgCAZNHkAADJKql0Zf/+/eVQ4t6yJB9VPctAUPWc2NcKDVyN3d48B02rtWOHRud5bFWqLTTAePv27W595cqVbl0NzJ4+fbpcQw0LVsOFa2pq3LpKJYaGMKs1VGpWpfwOHz4s14hN7aq0aehcV0Or161b59affvppt/7ss8/KNXbv3u3W1edGHSt1HoaSyupzE5uWzPJ7L1Zfr5E3vskBAJJFkwMAJIsmBwBIFk0OAJAsmhwAIFklla6MkSXloxI9xZgHl+f25vXzZnq7VOIsz1l7senRLAnO5uZmt64SgwcOHHDrO3fulGts2LDBrU+bNs2tjxw50q2r2Y5qRqSZWUVFhVtXx1YlA0MJzthZogcPHnTrb775plzj1VdfdetvvfWWW1dJyTznR8aen6FkeOxs12KmD3vr69+Hee873+QAAMmiyQEAkkWTAwAkiyYHAEgWTQ4AkKyST1fmmYgsRmooz+2Nfa089y/2tWJTmnmuEZpdqdJ26g7ZoZShMmjQILeu0pIqXVlVVeXWVYIytLaaRakShqH3Qh0TdYfzxsZGt75v3z65hnoP1RoqJZrn+ZZnIjKvc72v5ZVEzeP3d6GvwTc5AECyaHIAgGTR5AAAyaLJAQCSRZMDACSLJgcASFbJX0LQl7H/kGLE+JW8Yryh5+S1TSF5rX3s2LHox9T2qksOQtva0dHh1tVw6B07drh1NeS6vLxcrq3i/bGXQqhLEUKvpWL8qt7Z2SnXUJcKqBh/7PtqFh6gXGr6cph8SDEuhWBAMwAABaLJAQCSRZMDACSLJgcASBZNDgCQrJJKVx4/fvyUNJVKnJXqMNS+HChdjERWnq8VGqZ7ptcuxhrq/VDpQ7W2+nkznRhUx1b9fJbPUyjVGiuvRJ36fWGW3/l2tn3OlL4cJl9MfJMDACSLJgcASBZNDgCQLJocACBZNDkAQLJKKl1ZVlZW8C3OS2Emmqcv00RnWyJLyStVmmWNLPunUnsq6RebGA7tX+wMxyyJSLW9sfudJcGZ5xp5KdX0YewaZ9t+ZMU3OQBAsmhyAIBk0eQAAMmiyQEAkkWTAwAkq6TSlT09PQUna/KcXVnKc9dSltfxLcZc0DxfSyUGi5EYDs12jF0jdntDa6s1smxv7PqxxzDL8SjG76TU1yg0ed8b3+QAAMmiyQEAkkWTAwAkiyYHAEgWTQ4AkCyaHAAgWSV1CUFXV5cdOnTopFqW4aJ5Dd/t62h6Ka4du0YxtikUM1ePqUHFeZ4LSuz5meW1lCyXL+QVvQ8Nh45dI8v7ofY9VpZB2nnJculU7DHMcz/UGkePHpXPyTJEPIRvcgCAZNHkAADJoskBAJJFkwMAJIsmBwBIVkmlKzs6Oqytre2kWl/e5h6nL5SCyys5l2WN/v375/LzoefEnrux2xR6LHabQsnD2M+aej+yrBGbBs3ye0GtUYzfPXklIrM+J1Zeg7RDP6/Slb3fp0JTmHyTAwAkiyYHAEgWTQ4AkCyaHAAgWSUVPJk1a9YpNYInZ7dSDZ7k+Q/lBE9OliV4ohA8Keznsz4nVl6fp9A2qfejd93rF+5aPXQLAECi+HMlACBZNDkAQLJocgCAZNHkAADJoskBAJJFkwMAJIsmBwBIFk0OAJAsmhwAIFk0OQBAsmhyAIBk0eQAAMmiyQEAkkWTAwAkiyYHAEgWTQ4AkCyaHAAgWTQ5AECyaHIAgGTR5AAAyaLJAQCSRZMDACSLJgcASBZNDgCQLJocACBZNDkAQLJocgCAZNHkAADJoskBAJJFkwMAJIsmBwBIFk0OAJAsmhwAIFk0OQBAsmhyAIBk0eQAAMmiyQEAkkWTAwAkiyYHAEgWTQ4AkCyaHAAgWTQ5AECyaHIAgGTR5AAAyaLJAQCSRZMDACSLJgcASBZNDgCQLJocACBZNDkAQLJocgCAZNHkAADJoskBAJJFkwMAJIsmBwBIFk0OAJAsmhwAIFk0OQBAsmhyAIBk0eQAAMmiyQEAkkWTAwAkiyYHAEgWTQ4AkCyaHAAgWTQ5AECyaHIAgGTR5AAAyaLJAQCSRZMDACSLJgcASBZNDgCQLJocACBZNDkAQLJocgCAZNHkAADJoskBAJJFkwMAJIsmBwBIFk0OAJCsAX29Ae/153/+59bQ0NDXmwGUlJ6eHvlYWVlZEbfkZKHtipXXfhTjWKk1+vK9CIndrtAxVI/16xf3fSmPNaZPn27/9E//9L5rlVSTa2hosNdee62vNwMoKTS5wtHkTpVqkysUf64EACSLJgcASFZJ/bkS+CDL8mca9aco9VrHjh2Lep3QY33557ksa8f+eTXvP5vFrKFkeZ9i3/P+/fvLNdT2Hj9+XD7HM3DgwOg1Dh8+fNL/P3r0aEFr8U0OAJAsmhwAIFk0OQBAsmhyAIBk0eQAAMkiXQmUiCwpxiNHjrh1lQBU9VA6Lq9EnUr5hdaITVFmSaKq/VA/X2iq773ySruGjrlKRYbSkp4sF9TH1ru7u6O2yezUROaAAYW1L77JAQCSRZMDACSLJgcASBZNDgCQLJocACBZNDkAQLK4hAAoEbHDls10pHzQoEFuffjw4W69vLxcrqGi2oMHD45au6KiQq6hnqMG+apLBULRdHWsYgcuZ4nqV1ZWunV1TNR+hy4h6OjoiKpv3rzZre/evVuu0dzc7NbVuav2L3ROq0s0uJ8cAAC90OQAAMmiyQEAkkWTAwAkiyYHAEgW6UqgRKjEWWggsErhTZw40a0vWLDArY8bN06uoVKDariwSgB2dXXJNdSg6dg1QulK9VhnZ6dbP3z4sFtXacXQ2uo9VM9RacXQUGKV4FT1q6++2q2PHDlSrqHewzVr1rj1VatWufW2tja5hjrfer/nhQ4I55scACBZNDkAQLJocgCAZNHkAADJoskBAJJFuhIocaG5kiqVuHHjRre+bds2tx5KcKrHVBo0zxmc6rVUPTQ/UsmyvTGvExJ7DLO8lkqoZtnvadOmufXFixe79csvv9ytv/7663KNZ5991q03Njae9P9D5+x78U0OAJAsmhwAIFk0OQBAsmhyAIBk0eQAAMkiXQmUuFDaTc0yjE3ahVKJ6rE805XFcKbXz5KIjBWa1xibOM2SUN26datb/8d//Ee3Pn78eLd+1VVXyTU++tGPuvXW1taT/v+ECRPka7wX3+QAAMmiyQEAkkWTAwAkiyYHAEgWTQ4AkCyaHAAgWVxCAJS4UPQ9doBxlhh97HNCMfdYecbyixHxP9P69cvve0nsZSZmelj48OHD3fq+ffvc+o9//GO5xuTJk9363LlzT/r/VVVV8jXei29yAIBk0eQAAMmiyQEAkkWTAwAkiyYHAEgW6UqgRGRJRPb10GNPCinGD4Is71MoeekZPHiwWw+lRJubm936b37zm5P+//nnn1/QNvBNDgCQLJocACBZNDkAQLJocgCAZNHkAADJIl0JlAg18zGUgotNV+Y50zJWaD+y7DtKn3r/ssw3zXou8E0OAJAsmhwAIFk0OQBAsmhyAIBk0eQAAMkiXQmUiCzpsbMpfZjlDudIUzHfb77JAQCSRZMDACSLJgcASBZNDgCQLJocACBZNDkAQLK4hAB4jzwHBcc+J88BzXlGtGNfK89tih0cXYzLFLjc4ezCNzkAQLJocgCAZNHkAADJoskBAJJFkwMAJIt0Jc4axUgS9uvn/3dfaA31nGPHjrl1laLMQm2XqqtjGEolqv2LFXqd2PdW/XyWNfJKcJK6LE18kwMAJIsmBwBIFk0OAJAsmhwAIFk0OQBAskhXouTklbTLskaW5KNKUcauPWCA/3FUdbP45GOe8zHzTI/GpiWPHj3q1gcNGiTX6N+/v1tX+672I8v5hr7DNzkAQLJocgCAZNHkAADJoskBAJJFkwMAJIt0JXJRjOSjEkrzqRSeStqp+pAhQ+QaEydOjKpPnz7drY8bN86tDxs2TK6t0oSxicFDhw7JNVSKMvYYtre3yzVaW1vd+s6dO916Q0ODW1+7dq1cQ+2jOiYq1ar2L8v8TxKcZx7f5AAAyaLJAQCSRZMDACSLJgcASBZNDgCQLJocACBZXEJQwvKM5ceKHZgb+zohKlZdWVnp1quqquRrnXfeeW599uzZUXUV+zczq6uri9quiooKt672OzQAWp0jKuau1jhy5IhcQ72WOhdUvbu7W64xePDgqNfq6upy683NzXKNV155xa3/x3/8h1v/7W9/G7VG6H3KMhg7L7Gf5dQuX+CbHAAgWTQ5AECyaHIAgGTR5AAAyaLJAQCSRbqyhKmUk6qrpFYoERm7hkqJqUHIasht6DE12PjSSy9161dffbVcY/78+W591KhRbj02+Whmtn//fre+bds2t64GBav3KXQMVSqys7PTrR88eNCtt7W1yTVC++5Rx1ClY830EGo1tHr48OFufeTIkXKN66+/Pqq+b98+t/7II4+49YceekiuvXHjRreuBmxnGdyszh/12UwtRanwTQ4AkCyaHAAgWTQ5AECyaHIAgGTR5AAAySJd2ceyJJxU2k7NBgyl49T6ao0hQ4a49QkTJrj1GTNmyLUvvPBCt67mR9bX10dtk5ne9z179rj1nTt3uvV33nlHrrFp0ya33tra6tZVCk4lDFUCLyR2RmVsgtIsfnblwIED5WupZLB6jkpwqtSlmT5/VJq3pqbGrX/qU59y6x/5yEfk2t///vej6iqBGzoX1IxRZlcCAJAomhwAIFk0OQBAsmhyAIBk0eQAAMkiXVnCVLJMzaJTdyYOJRyvvfZat67uhK0SamPHjnXr6q7ZZnr/ysvL3bpKBu7YsUOu8fTTT7v1rVu3uvWOjg75WopKtcbO8zx8+LBbz3LHaUWtrbY1tEbsXclDa8TOY1WzNtUcUTOzhoYGt67O0UmTJrn1efPmufUpU6bIte+8886o1/rbv/1bt75r1y65hjrusanLULqyGHcyzxvf5AAAyaLJAQCSRZMDACSLJgcASBZNDgCQLNKVRZLnXbtVynDq1Klu/Z577pFrXHLJJW5dzV1USUI1a2/v3r1ybUXd1fr111936+vWrZOv1dTUFLW2mokYuju3SoOquqLe11AqUYm9S3SW+abqnI69q7yZ3l71HPV+qCShmd733bt3u3WVZNy+fbtbv+qqq+Ta55xzjltfunSpW1fJ47vuukuuoT5r1dXVbj3LHcNj3/NSwDc5AECyaHIAgGTR5AAAyaLJAQCSRZMDACSLJgcASBaXEJQwFaWvrKx06/fee69bX7RokVzj4MGDbr2rq8utq8G4W7ZsceubN2+Wa6votoqNq7q6fMFMR83Va6lhyFki0uq11NoqRh+KxSt5DtKNPYZKaJvUvqtjqC5lUdF7M70f6r1V26Si+i+88IJcW4m9tCB0OcnnP/95t64uTVH7F3qfYod1lwK+yQEAkkWTAwAkiyYHAEgWTQ4AkCyaHAAgWaQri0QlmULJQJVY+uxnP+vWFyxY4NYPHz4s11DJsqFDh8rneFpaWtz6zp075XNUglMNNlYpQ5U2NdNpMJU4U2uolF/oMbV/Khmo3u9QYlBRr6WObWhQuDpWag11PEIJvNgEqTpvQ+/ToEGDorZLJRnVz6uBzmZmL730kltX58LMmTPd+rXXXivXuPXWW936N77xDbeuzqvQuXA2SmtvAAB4D5ocACBZNDkAQLJocgCAZNHkAADJIl2ZUeysNpXyU2k3M7NrrrnGrX/mM59x6yqhpmZgmumUmtoutd8qwTl48GC5tnqt2HRXKJmnEnKxybmKigq5hkofquScEjtbMST2OaFUoqKOYewsSLP4mYjqtUL7rd4Ptbb6+fb2dreu0ptmZh0dHVFrqNeaMWOGXOO///f/7taffvppt/7KK6+49dDvNvVYlnO0WPgmBwBIFk0OAJAsmhwAIFk0OQBAsmhyAIBkka7MKPbuziqJFpq7eP3117v11atXR60RujO4ml+nEoM7duxw6+qO4SGxKUqVAAzdLVk9J/au3aH0mHqOSsjlOTMwdj9i7+adZW31foT2Tz0We0xCPx97LqjkY5a7x6vkrJp3+dprr7n18ePHyzVqamrc+qc//Wm3vm7dOrceOkdUujK2Xsw0Jt/kAADJoskBAJJFkwMAJIsmBwBIFk0OAJAsmhwAIFlcQhAQO4TZTEdjVRx54sSJ8rVGjRrl1v/+7//erb/zzjtu/etf/7pcY/HixW5dbe/+/fvduhpaGxr8GzswN0ssPvaSgNhIvpk+T9Tg6CznlaK2K8t+xK6RZRCzoi47iF1bXZ5hpmP8anvV+6fWUK8fekzt3549e9z69u3b5RozZ85067//+7/v1ufNm+fWV61aJdeoqqpy67EDz0OXEBR6XhX6OeKbHAAgWTQ5AECyaHIAgGTR5AAAyaLJAQCSRbrSsg0LjU0TqRTVnDlz5Bqtra1u/cCBA279rbfecusPPvigXKO+vt6tq8HRXV1dbl0dQ/XzZvqYqGMbO2A3tF2Keq1QYjA2OadSe1n2Tx0rNWA7S+pSHUO13yp9GErDqe3t7Ox062o/Kioq5BrqMVVX73lsStNMJ4nVMWlpaXHrW7ZskWtMnTrVrZeXl7v1q6++2q2//PLLcg31PsWe06FjlffwZr7JAQCSRZMDACSLJgcASBZNDgCQLJocACBZpCst2yxBlVhSaTeVGDr33HOjt2v48OFufdasWW5dJZ/MzHbt2uXWR44c6dZV2u3w4cNuXR2P0HMUlewKJTiLkQyMTYOpn4+dp2mmj4l6rSznunqOqqvknEoYmpkdOnTIratzRL1PoZSoOo7q/FGfcbVNofNw0KBBbj12/mcoXalS16NHj3brN9xwg1tfvny5XGPv3r1uXb0fsb8Pz4ToJrdr1y574YUXbMuWLdbc3GxHjhyx8vJyq62ttfr6elu4cKGNGzfuTGwrAABRCm5yx48ft+9+97u2YsUK6+npsbq6OqutrbWKigrr7u62jRs32osvvmg/+tGP7CMf+Yh95jOfyTSNHACAvBTc5H7yk5/YihUr7I/+6I/s2muvtdra2lN+prm52f7jP/7DHnnkERs2bJh97GMfy3VjAQCIUfBXraeeesr+4A/+wD7+8Y+7Dc7MrLa21j7+8Y/btddea0899VRe2wgAQCYFN7mWlhabNGlSQT87adIkOZIKAIBiKfjPlRMmTLDf/va3tmjRovedO/b888/b+PHjc9nAUhWbkBs8eLBbnzx5slxj9erVbl0lnNRdxmfMmCHXUOm8TZs2Ra0dSgAqKvWpUniqnmU+5pAhQ9x6bGLQLHw36phtypKIjP13b/VaKv1nprc3NqkZep9UCk8d29g5lGb6fFNJ29gEYChJrNaIfT86OjrkGg0NDW5dpbHV754Pf/jDco0f/OAHbl29T+r8DKVg1fvU+/0o9P0puMndeOON9o1vfMPuvPNOu+aaa2zq1KlWW1trAwYMsKNHj1pzc7Nt2rTJfv3rX9vWrVvtL//yLwt9aQAAzoiCm9xFF11kf/3Xf20/+MEP7L777pM/N27cOPurv/oru+CCC3LZQAAAsoq6Tm7BggW2YMEC27Fjh7xObsKECWdqWwEAiJJp4smECRNoZgCAkpfb1dqdnZ32y1/+0hobG/N6SQAATktuTa69vd3++Z//2bZt25bXSwIAcFoK/nPl17/+9eDjJ6LoP/vZz+zXv/61lZWV2V/91V+d3tb1sVBEOhSB9Zx33nlufezYsfI5q1atcuvbt29362rI7eLFi+UaKpKsLhVoa2tz6yreH4q4q1i1oi5TCF2+oN5DFTVX0e3QkOvYAcaxkfzQMVRDhBX1WqFzXT2mIvPqUoHQgGa1Xep9UpeAhC7nUO9h7DFR51voHFHvk9o/dY6ELlPYunWrW583b55bV5c1ffzjH5drPPLII9Hb5Qmd02rfez+n0EtYCv4t88orr1h5eblVV1cHN2zfvn3W0tKSado5AAB5KrjJffjDH7ann37azj//fPvEJz5hw4YNO+nxxsZGu+222+yzn/2sXXTRRblvKAAAsQr+N7nPfe5z9pWvfMV27txpf/EXf2GPPvroSV9R+eYGACg1UcGTadOm2bJly+zTn/60PfbYY/b5z3/eXnrppTO1bQAAnJZM18ldffXVdumll9qPf/xj+4d/+AebNWuWLVmyJO9tAwDgtGRqcma/SwX91//6X+0jH/mIfe9737O///u/z3O7ikr9qTU0AFQ9RyXLVGCnsrJSrnHw4EG33tnZ6dZVUvOSSy6Ra+zatcut79y5M2rt2LSpWfyQayX0p3L1WioNpn4+tH8qNRib5suiGMlAdUzUcO/29na3fvjwYbmGSrWGBkd7YlN+ZsX5pxb1Pqljon5eHXMz/fuiqanJrash+rNmzZJrzJ49262rJLhKj2b53XrGBzQr48aNs7vuustef/11279/v02ZMuV0XxIAgFycdpM7Yc6cOXm9FAAAucjv7yYAAJQYmhwAIFk0OQBAsnL7N7mzWWyaz0zPolOzINWtiULpMZUUU/P5ZsyY4dZVisrMbNOmTW69tbXVrcfOacySfFR1lQwMJc5i512q7Q2todKVajZnbLoyyzxGtX9qvmlo/qdKyKnzUyVwQ+eCmqOoPh9qe0Ppyiwp6hjFSGmGUr6xs0TVfldVVck1VPLyxRdflM/xhD4Deb0f766V66sBAFBCTuubXGdnp+3bt886Ojrc7quuqQAAoBgyNbm2tja7//777cUXXwx+fX744YczbxgAAKcrU5P7zne+Y6tXr7YlS5bYrFmzgn/DBQCgr2RqcuvWrbPrrrvObr755ry3BwCA3GRqcoMGDbKRI0fmvS19JssMRfWYSsKpVNuePXvkGiqdFzt/UKXdQo+pRF1sgiyU2lMJ1dh5fqE7jKvH1MxQ9b6GZjuG0o+e2GOYJbWn0qBqvmEolVhbW+vW1Tmi/rKjft5M3+lbvedZEnixd2ov9A7VJ4Tu0q5Sour8VD8fSiWq11Lvbewd3830e6vWzjspmUWmdOWVV17JLXYAACWvoG9ymzdvPun/X3bZZbZ+/Xq755577JprrrHhw4e7/4UxderUfLYSAIAMCmpyd955p3zs1VdflY+RrgQA9KWCmtwtt9xyprcDAIDcFdTkFi1adIY3AwCA/GVKVx47dswOHz4sE2qHDh2yQYMGBRNpZ4PQ9sfOztu9e7db37p1q1xDzURUx33MmDHRa6gUnkq7qf1W25oloapSX7FJydBzVF0l6kIJR3UMY9N5apvynP85dOhQ+VpKTU2NW1dpSbXfoTmtKqEamyzN8jtHfWZj55uG9k8dK7W9seetmT6Gag1VD6Ur1WzeYuj9uSn03MiUrnzggQfs7rvvlo/ffffd9v3vfz/LSwMAkJtMTW7t2rV26aWXyscXLlxoa9asybxRAADkIVOTa25utrq6Ovl4bW2tNTU1Zd4oAADykKnJVVVV2a5du+TjO3fulPeHAgCgWDI1ufnz59uKFSvsnXfeOeWxzZs324oVK2zBggWnvXEAAJyOTOnKm266ydauXWt33XWXXXjhhTZx4kQzM9u+fbutXr3aqqur7aabbsp1QwEAiJWpydXV1dnXvvY1W758ub388su2atUqM/vdLeyvuOIK+8QnPhH8N7tSk2UIbGz096233nLramCumdm0adPc+qhRo9z6+eef79ZD78Xo0aPduornHjhwwK2rGH3oGKrLDlQEXb1WaGitek7sUF61rWbxlxCoQb5qP0L3bIyNs6tzJ0RF6dV+x15eY6YvA1GfJ3WsQgPBz7TQ+xS7XbHnp5k+VuqfjmLfVzOzbdu2ycc86vzMMri5974X+hqZ7wxeW1trt956q/X09Fhra6uZmVVXV2eamA4AwJmQucmdUFZW9u5/KdDgAAClJHOT279/v/3oRz+yNWvWnPRNbsGCBXbjjTcmdb85AMDZKVOT27lzp33pS1+yjo4Omzt3ro0fP97MzHbt2mXPPPOMrV692pYtW2bjxo3LdWMBAIiRqcktX77cysrK7N5777VJkyad9Ni2bdts2bJltnz5crvjjjty2UgAALLI1OTefPNNu/76609pcGZmkyZNsmuvvdYee+yx0964YsmS9Dl8+LBbVwknlaJsa2uTa6hEX1dXl1tXCbV58+bJNUaMGOHW161b59ZD6S6P2lazcGIxRujfglWiTyXIVGo2y783q2MVSq95QqlEtV0qwZllSINa/9ChQ1H1LGuoc1q9T6GkbV6ZAfX7IpSgVPun9iNLSlT97qmurnbrscljM7M9e/a49SwJ9WLJdDH40aNH5YfI7Hfx5dAHEwCAYsjU5KZMmWJPPvmk+19shw4dsieffNKmTp162hsHAMDpyPTnyo997GN2zz332O23326LFi16N2Cya9cue/rpp62trc0+85nP5LqhAADEytTk5syZY3feeac9+OCD9vOf//ykx+rr6+3WW2+1OXPm5LKBAABklfk6ublz59q9995rBw8etH379pmZ2ciRI+VdhAEAKLbTnnhSU1NDY3sPdQt6lXw68R8Inu3bt7v1nTt3uvUf/vCHbv28886Ta0yYMMGtqxl16j6BKlEXCiCp+YoqWZZl1l5sgkwl8NT7Z/a7W095VLK0o6PDratjGEraqWNYUVHh1tXxUOetWXyCUyWPs8x2jA2wZUlQqmOiXiuU4DzTa4eoJKp6n9T7oRKUZmaNjY1uXaVEVf2smF3Z2tpqjzzyiK1Zs+akb3ILFiywG264gcYHAOhzmf6TZPv27faFL3zBHnvsMausrLSFCxfawoULrbKy0h577DG74447oqdVAwCQt0zf5O6//347fvy43XPPPTZ9+vSTHmtoaLCvfvWr9sADD9iXv/zlXDYSAIAsMn2Ta2hosKVLl57S4MzMpk+fbkuWLLGNGzee9sYBAHA6MjW5YcOGBf+hury83IYNG5Z5owAAyEOmP1cuXbrUfvWrX9lVV111SsCkqanJHn/8cVu6dGke21cUKskUSoOp1JBKg6m025gxY+Qa6j8UVOryueeec+v/+q//Ktf4oz/6I7eugkMqSXjidku9qaSdmT5WsXPwsswrVM9RdfX+hZ6jko/qPxCzpBJjk34qxRh6HTVjNHa/Q0lJ9VrqOVmSj7F3GVfU2up3QmgNVVeJyNAaEydOdOvq/VBWr14tH1OzdmM/s1nO6d7HvdAEaqYm19PTYxUVFXbbbbfZJZdc8u4v6t27d9uqVatszJgx1tPTY7/4xS9Oet7111+fZTkAADLJ1OR+8IMfvPu/vW8P27ZtO+lnTqDJAQCKKVOT+9a3vpX3dgAAkLtMTW7kyJF5bwcAALkr+F9cGxoarL29vaCfbWxstKeffjrzRgEAkIeCm9wXv/hFW7t27bv/v7293W6++WZbv379KT+7YcMG+/a3v53LBgIAkFXm2ZU9PT3W3d0djIKe7bIMSVXHQw3l7ezslK+1ZMkSt75mzRq3ruK9L774olxD3RIpdkiy2u/QEFUVh1ZrZBmerNZXa6jXyhJ5VvsXew1p7JDi0HNUPXSphzqG6tKCLMOW1WMqSq+Ezjf1Hsauoc7D0O8LdS7EDk8OzQRWw9bV+6F+9zz11FNyDbVdoc+gJ3Ss1HvYu17ogOb8xmkDAFBiaHIAgGTR5AAAyYr6Q2pjY6Nt3rzZzP7fDR537959ys361I31AAAopqgm9/DDD9vDDz98Uu2+++7LdYMAAMhLwU3ulltuOZPbcdZRKSOVolI/H0o+/n//3//n1q+++mq3/qtf/cqtNzU1yTVUQk7thxr2qgYYq2SXmU6cqueobQoN2FUJLJXuyjJQNnaIcGw9NJQ3NomqhJJqWY5JrNgh6bEp35C8hiTnOShcGT9+vHxs+PDhbl1t77p169z6Cy+8INeITVGq9yO03+o5Z3xA86JFiwr9UQAASgLBEwBAsmhyAIBk0eQAAMmiyQEAkpV5dmVKCk3zvJdKLKkkmvr59w697u2tt95y6//jf/wPt65mIl522WVyjXPOOcetq0Tm7t273bpKXYWSgSq9pl4rdh6jmU5xqVmNWdZQ26vOnyNHjsjX8mRJdhY6/++E0LkeSsjGrBFK5qnzJK/PmVn87NPYukoem5kNHDhQPuaprq526zNnzpTPUdulzvWf/vSnbn3//v1yDZWijk21Fjp3Mg98kwMAJIsmBwBIFk0OAJAsmhwAIFk0OQBAskhXWrY7gKt0UOxdotXdvM3MHnjgAbf+yCOPuPV//Md/dOtdXV1yDZXiGjJkiFtvaGhw6+p4hFJlsXcTj53zFxJ7V/I8k4GKWjtLEi02ERk6trHp0djPQNbneELvk9pedY6q9K+qDx48OHptlVacO3euW588ebJcQ50nzz33nFt//PHH3XpoP/KSx+9c7gwOAPjAo8kBAJJFkwMAJIsmBwBIFk0OAJAsmhwAIFlcQpCz2Oi2iuqbmb3zzjtuXUWCr776arceGp7a3d3t1mOHJKvBzSoibaZj42rQraq3t7fLNdS+x8biQ9R+hOLsHnVsQwOdY7dXrRF6HbV/Knof+xkw08dKra22N3TJgVpD7Yd6rSznjtqP+vp6tz5r1iy3Hjq2arDyN7/5Tbfe2dnp1tUlEqH1Ywd/M6AZAIAc0OQAAMmiyQEAkkWTAwAkiyYHAEgW6UrLlgCKTbWpdFUoOafSXd/73vfc+vz58926GsJsFp+unDlzplvfvn27Wz948KBcO3bAr9qmyspKuYZ6zqFDh9x6bEos9FjseRWbMDTTaUn1HPXzIbFpQpVWDH2e1Lkem6IMHSuVGlRrqDRvbErTzGz8+PFu/eKLL3brVVVVbj2Urvynf/ont/7qq6+6dTWIObRGbCoyy+cp7+Ql3+QAAMmiyQEAkkWTAwAkiyYHAEgWTQ4AkCzSlZYtzRP7HJViDFFJsX//939360OHDnXrf/d3fyfXGDNmjFtvampy61OnTnXrn/rUp9z6jh075No7d+6MWrulpcWthxKqKgmn0mvqtUKpPXUuqLmZKhmo1g7N/4ydRanWDs03jU1XZvk8qeMbOu6eUMJRiZ2VqlKaY8eOlWuoFOXw4cPfZ+tO9uijj8rHfvCDH7h1lT4OvedK7Huu3r8syfWsqUu+yQEAkkWTAwAkiyYHAEgWTQ4AkCyaHAAgWaQrc5bXHEMzPUOupqbGrf/4xz9262+++aZc4zvf+Y5bv+CCC9y6mkWptkmlGM3M5s2b59ZVYlDdATw0H3Pv3r1ufc+ePW5d3V05tMbhw4flYx6VVlT10CxBlfRTKUqV8g0l7fK663PoTumxsyjVGqE7g6tjpdZQqcQZM2a49blz58q11edDHZMnnnjCrX/ta1+Ta6j3NjZxmufM3jznUPZeu9Bt4ZscACBZNDkAQLJocgCAZNHkAADJoskBAJJFkwMAJItLCDLKKxqb5TbwKgo9ZMgQt75u3Tq5xp/+6Z+69c9//vNu/aKLLnLrEyZMcOsqhm2mBy6ryPywYcOi1xg3bpxb7+rqcuv79u1z6w0NDXKNd955x62r/YuN5Ici4Co2HntpQZZLCNRzslxCoKh9z3IJgVpfnbvnnHOOW58+fbpbVwOdzfT2/upXv3Lrd955p1vfvXu3XEN9/tUlOVnkeUlAsfBNDgCQLJocACBZNDkAQLJocgCAZNHkAADJIl2ZUV6DSrPcgl49Rw1DHvz/t3fvsVnX5//Hr4K0pUCh5SBUQKx4QjwgzuF0DieZ07nNmXlYZmaiyRKNZks2l7nNLYszLm7JtuybJSY6M08TdUY3dejQeD6ACIoyUVBEThboCcpZ+vtj0Z+U9+vN/X7z4e7dq8/HX/Nqe78/p7vX7vL6XJ/Bg+VrrVmzJlj/xS9+EazX19cH66NGjQrWp0yZIteeNWtWsK7Sbl1dXcF6bICxSl6q1KXaj5EjR8o1VNpOJeFaW1uD9U2bNgXrajC1mR4Ora4RVY8l8NTxVa+VOqTcTA9JVj9TW1sbrKvr00yfJ5WiVNeCOlZtbW1ybTU8/c9//nOwrpK5sf1LHb6tjrk3/WMvAQD9Ek0OAOAWTQ4A4BZNDgDgFk0OAOAW6coyyUmcKSpFlZPgVCk1lSBTyUBVX7BggVz73nvvDdZPPfXUYP1LX/pSsB6biahmOK5YsSJYHz16dLAeS1eqpOaECRPkz4Rs3bo1WO/s7JQ/s2HDhmC9vb09WN+4cWPS2mbp6Uo1PzJ2noYNGxasNzY2BuvqfMTOk5rtqFKGal6pmjf5j3/8Q66trjc171IdD5WmNSv2d0yq1Hms5cQnOQCAWzQ5AIBbNDkAgFs0OQCAWzQ5AIBbpCv7IJVeUwmn2NN8VXIuda6d+v7YrD2VvHr55ZeDdZV2+9znPifXmDZtWrCuEqrqyeAqlWimnzJ+6KGHBusqMahmjKqZpGZm48aNC9ZV8lGdb3U8YtR1qM5r7JpSyUu1H+r7YzM433nnnWBdpXwfe+yxYF0lWmNPJVdPOE9NSsfSir2ZZKyEFKXCJzkAgFs0OQCAWzQ5AIBbNDkAgFs0OQCAW6Qr+6BYWjJVUfPuVGov9joqIafmaap5jM8//7xc49133w3WVfJx4sSJwXpDQ4NcQyUy161bF6yr+YpqjREjRsi11TFUdZUAjCUfUxOZqh57grt66ntLS0uwrpKSzzzzjFzjzTffDNY/+uijYF1du+rYxq51lfpMTUTH1ijy94InfJIDALhFkwMAuEWTAwC4RZMDALhFkwMAuEWTAwC4xS0E/UCRseOc4buKipqnxtxj0fSVK1cG62vXrg3W33rrrWA9NmhaDVBWUfNhw4YF6+pWAfX9ZmY1NTXBenV1dbC+adOmYL2jo0OuoYZTq0HFmzdvDtZ37Ngh11CDmLdu3Rqsq6HYMeq6UsdKiQ2BLkolDzzua/gkBwBwiyYHAHCLJgcAcIsmBwBwiyYHAHCLdGU/p1Jc5Rj2WtRw6Ni2Dho0KFhXaT6VPuzs7EzaptgaKg2q9iOWXFVfU8lOlWiNHXO1H2oNJWcItDp/KlWac92q/VP1nPcMacnewyc5AIBbNDkAgFs0OQCAWzQ5AIBbNDkAgFukKxHUm2kwlbQrR6pNvVbOGqquEoM5a6vEYmpSM3ac1MzH1O2NzRhV26XmRKo1cua0ps5jzVkbvYdPcgAAt2hyAAC3aHIAALdocgAAt2hyAAC3SFei1xSVRisyUZezRlHUGirdaKbnKxaZACzHHNPUpGbOfhQ5ExV9B5/kAABu0eQAAG7R5AAAbtHkAABu0eQAAG7R5AAAbnELAXCA5AyUDlG3CcTWUMox2Lgcg7SBUvFJDgDgFk0OAOAWTQ4A4BZNDgDgFk0OAOAW6UqgzIpMEhY1RDjndVTqs1KHQOPA6Y2B4KV+H5/kAABu0eQAAG7R5AAAbtHkAABu0eQAAG6RrgTKrMgkWqqi5mnGXgt9gzrnAwbozz7qnH/88cfB+q5du4L1mpqa5DV27twpfyaGT3IAALdocgAAt2hyAAC3aHIAALdocgAAt0hXAmXWmynK2FPGFZW2K3LeZGrSrxxrK2qbco6tknONqO1SycdBgwYF69u2bUteo66uLlhvb28P1js6OuQap512WrD+zW9+c4//Hj16tHyNz+KTHADALZocAMAtmhwAwC2aHADALZocAMAtmhwAwC1uIQAqXCziXo6IvZK6RiwWn7ofvTlQOmewcTmoWxjUfm/fvj1Yjw1P7urqCtbb2tqC9VNPPTVYv+CCC5LXuP/++/f47yOPPNK++93vytf5BJ/kAABu0eQAAG7R5AAAbtHkAABu0eQAAG6RrgQqXCwVuGvXrmBdJf3Ua6khvmbFDU9W2xrTm+lRRe1H7DylpkRTz+u+1g8ZPHhwUt3M7IwzzgjWZ86cGazv2LEjWJ8zZ45cY/78+cF6z2NSXV0tX+Oz+CQHAHCLJgcAcIsmBwBwiyYHAHCLJgcAcIt0JVDhYqk59TWVwhs+fHjy+irpp5KBqdsU+1rqPMZBgwbJNQ46KPzrTq2t6rW1tcH6wIED5dqprzVs2LBgfciQIXKN+vr6YF2lJZuamoJ1dZzMzNatWxes//3vfw/W33zzzWB9586dcg21jz23i3QlAKDfo8kBANyiyQEA3KLJAQDcoskBANwiXQlUiCJnPo4dOzZYnz59erDe3NwsX0ul2FQKT31/LA2nUpSqro5JLLWnvqZeS83zVE/Ujp0ndW7VNm3ZsiVY37x5s1yjpaUlaY1//vOfwXpra6tco7OzM1hXTxNXyc7YtaCOe89jGJu3+ll8kgMAuEWTAwC4RZMDALhFkwMAuEWTAwC4RZMDALjFLQTAAZI6wFjVY3FrFWdfu3ZtsP7kk08G648//rhcQ8X4Y4N8Q2IRe7Xv6hiqutrWcqyRs3bq98eGQKfunxoarb7fTA+OVoOx1TGJxf/VddJze2PbucfPlfRdAAD0QTQ5AIBbNDkAgFs0OQCAWzQ5AIBbpCuBAyQ1UafEUnsqeal+Ztu2bcF6bFvV11QKTq2t0nyxn1FSE4MxqecpNVWas4ZSaqJwf8QSnKmDptX3x9ZQw55jw7dj+CQHAHCLJgcAcIsmBwBwiyYHAHCrooInkydP7u1NAPoUFWhQQY7UUWP7+lrK2rFQSGqgImc/ipKzRl8KnuRsa+r1FgueKD2DTkcccURJP1fVXY6jBgBAL+DPlQAAt2hyAAC3aHIAALdocgAAt2hyAAC3aHIAALdocgAAt2hyAAC3aHIAALdocgAAt2hyAAC3aHIAALdocgAAt2hyAAC3aHIAALdocgAAt2hyAAC3aHIAALdocgAAt2hyAAC3aHIAALdocgAAt2hyAAC3aHIAALdocgAAt2hyAAC3aHIAALdocgAAt2hyAAC3aHIAALdocgAAt2hyAAC3aHIAALdocgAAt2hyAAC3aHIAALdocgAAt2hyAAC3aHIAALdocgAAt2hyAAC3aHIAALdocgAAt2hyAAC3aHIAALdocgAAt2hyAAC3aHIAALdocgAAt2hyAAC3aHIAALdocgAAt2hyAAC3aHIAALdocgAAt2hyAAC3aHIAALdocgAAt2hyAAC3aHIAALdocgAAt2hyAAC3aHIAALdocgAAt2hyAAC3aHIAALdocgAAt2hyAAC3aHIAALdocgAAt2hyAAC3aHIAALdocgAAt2hyAAC3aHIAALdocgAAt2hyAAC3aHIAALdocgAAt2hyAAC3DurtDfisyy67zJYuXbpHrb6+Pvi9VVVV8nW6u7uT1lWvlfo6vb0GAB/U74XY74vU3yW7d+8u5HVyf0ZRvysHDNjzM9kRRxxht9xyyz5fr6Ka3NKlS23RokV71BoaGoLfS5MD4FWRTU7V+3qTKxV/rgQAuEWTAwC4VVF/rqyqqor+GfKzivx4XI4/GfJnSaD/Sv3nCvWnuf78e6TnMRw0aFBJP8cnOQCAWzQ5AIBbNDkAgFs0OQCAWzQ5AIBbfTZdCQB9RWoqsj+nKIvGJzkAgFs0OQCAWzQ5AIBbNDkAgFs0OQCAWzQ5AIBb3EIAAKh4PW+rKPU2Cz7JAQDcoskBANyiyQEA3KLJAQDcoskBANyqqHSlmX5MPADAh5zf87lDq/kkBwBwiyYHAHCLJgcAcIsmBwBwiyYHAHCrotKVzK4EAP9yk5I5+CQHAHCLJgcAcIsmBwBwiyYHAHCLJgcAcIt0JQAUIPa7q5xpwv1VzrmSKXpuV6nbySc5AIBbNDkAgFs0OQCAWzQ5AIBbNDkAgFs0OQCAW9xCAAAF6Eu3CcRU6n703K5St5NPcgAAt2hyAAC3aHIAALdocgAAt2hyAAC3Ki5dOWAAfRcAsCcGNAMA0ANNDgDgFk0OAOAWTQ4A4BZNDgDgVkWlKwcMGEC6EkC2WOKuqJmMao1KnfnoBbMrAQDogSYHAHCLJgcAcIsmBwBwiyYHAHCrotKVPBkc/Vk5UntekoFF7kfqa5XjWHk5T5WAT3IAALdocgAAt2hyAAC3aHIAALdocgAAt2hyAAC3Ku4WAgY0o79S8fCc22qKjL+nrl+OGP/u3buTXqe3Vep29Qd0FACAWzQ5AIBbNDkAgFs0OQCAWzQ5AIBbFZeuJIWEviY1GVjk8N1KXCPnPazSkiptnbN/RZ2nIqWej9g2Mbw5jE9yAAC3aHIAALdocgAAt2hyAAC3aHIAALdIVwKfkZPaK2q+YjnWzkngqYTjxx9/nPQ6OcnAvpQ+LMfaJCjT8UkOAOAWTQ4A4BZNDgDgFk0OAOAWTQ4A4BbpSvSaIucrFqUcsx2LNGjQoGD9oIPCb+2BAwcmr5G6H2rtGJUG3bZtW7C+c+fOpNcxS0+iKmr/Yq/D77Xewyc5AIBbNDkAgFs0OQCAWzQ5AIBbNDkAgFs0OQCAWxV1CwH8yRlaW45bC4p8LRXLHzZsWLA+fPjwpHpjY6NcW31txIgRwfrgwYOT1o691rhx45K+P3b7gjofnZ2dwfqyZcuC9XfffVeusWrVqmB948aNwXpra2uw3t7eHqx3dHTItRV1ravbFGLXbepA8NRt2tf6lYpPcgAAt2hyAAC3aHIAALdocgAAt2hyAAC3SFdWsHKkDFPXKHKbinqtnMG4KulXX18frB966KFyjfHjxyf9zMEHHxysjxkzJliPpSuHDh0arKv9qKmpCdZV6tLMbMiQIcF66iDmWGrv448/TlrjtNNOC9a3bNki19i0aVOwvn79+mB93bp1wfoHH3wQrM+fP1+uvXDhwqQ1ct5PAwaEP7Okvlbs+4v6fZG7fg4+yQEA3KLJAQDcoskBANyiyQEA3KLJAQDcIl1ZwcoxJ66o5JVKUeXMwVNJO5WirK2tlWuo5ONxxx0XrB977LHBenNzs1xDpSJHjx4drDc0NATrKvEZO0c7d+4M1tWx2r59e7Cu5jGa6ZmM6tyqhKPaVjO9j9XV1cG6SoOqVKmZ2ahRo4J1dZ6OPPLIYH3Hjh3B+owZM+Tazz77bLD+4IMPBuvvvPNOsK7eG2b6WKlrIef3S5FJzVQ9r7dSk5t8kgMAuEWTAwC4RZMDALhFkwMAuEWTAwC4VVHpyqqqqr0SM33xSbQh5ZhD2ZvUfuQkA1Va8vjjjw/Wzz77bLnG9OnTg3U1V1Kl81RyzUzv49atW4N1lT5UT6JuaWmRa2/evDlY37ZtW9I2xeZ/pqbz1NoqlRijjrua2amSkmZmTU1NwfqECROCdfVkd7W2SuaamR1yyCHB+qRJk4L1u+++O1ifN2+eXENdV4MGDQrWe/N3Ujl/7/FJDgDgFk0OAOAWTQ4A4BZNDgDgFk0OAOBWRaUrPevNFGVsxlssVReSk6JUVKrt/PPPD9YvvPDCYF2l5mLUU5RVMnDt2rXytdTXNm7cmFRXT66OnSM1yzD1Sds5T1dP3abYNaK+phKZXV1dwXpsBqc6T6tXrw7W1fU5duzYYH3EiBFy7ZEjRwbrZ555ZrCu5qHeeeedco2nnnoqWFep3dQnu5ulv89zngxe6tqlbguf5AAAbtHkAABu0eQAAG7R5AAAbtHkAABu0eQAAG5V1C0E3d3dbgYWlyoWsVXHQv1MzmPui4r4qsG4U6ZMkT/zla98JVifMWNGsK4iz0uWLJFrqKG1u3btCtbVwGMVwzbTcXY1DFkNplbnT93uYKbPn9q/7du3y9dSUm87UNdbzhDo2L6HxPZP3R7S0dERrK9ZsyZYV7cQHHbYYXJtNaBZDYE+7rjjgvWrrrpKrqFuO3jggQeC9fXr1wfrsVsL1PlQt40oOb/3cvFJDgDgFk0OAOAWTQ4A4BZNDgDgFk0OAOBWRaUr+6OcJFFqEi22hnqtgQMHButTp04N1k8//fRg/ZhjjpFrjx8/PlhftmxZsL58+fJgXaUYzfTQXJUGU+k8NSjYTKcl1c+otVXiLJYwTH2tnOstNZGprqnUBF6OWDJQnY9BgwYF6yqZq5K2q1atkmsfeuihwfrkyZODdfXeaG5ulmt873vfk18L+dvf/hasq0HhZmbV1dXBemriOzU1uz/4JAcAcIsmBwBwiyYHAHCLJgcAcIsmBwBwi3RlH5SanMtJnDU1NQXrKsE1c+bMYL2urk6urVKUqt7e3h6sDx06VK6hkoFqRqX6/lgyUB3D1CSjSpypOZRm8XmQIepayJklqNZWdZVCja2fWo8dK3WeVJJYJQlzErgqAaySmirZeeSRR8o11Hv2sssuC9Y3bNgQrD/88MNyDbXvKqFa1Gxcs72vw1LfX3ySAwC4RZMDALhFkwMAuEWTAwC4RZMDALhFurJgqcnHIp+Qq14rJ9V2wQUXBOvnnHNOsF5bWxusx+b5qVmU6gnOKgUXSxi2tbUF66lPDM9JOKpjq/YjZ96kOrepswTVNpmlH5MiZ1SmzjiMvZ/U11TiVO2HutZj+61Sierp4+rY1tTUyDUOP/zwYH3cuHHB+uWXXx6sr1u3Tq7x9NNPB+tqe1OvQ7PS3+ekKwEA/R5NDgDgFk0OAOAWTQ4A4BZNDgDgFk0OAOBWRd1CUFVVtVfkNDVG39tStzdn/1QsV8WtVSTfzOyMM84I1tUg5sbGxmB906ZNwfrzzz8v11bDadWwVxVT7ujokGuo7VLHJCf+rs6Hinunnr/UIcw5YreZpN5CoLY39XaA2GsV+b5JpfYjZ5vUEGj13nj77bfla6n35qhRo4J1NexZ3VpgZrZ06dJgXd12oG4HyLkWcvFJDgDgFk0OAOAWTQ4A4BZNDgDgFk0OAOBWRaUru7u7+1ya8kBKTYOphNzIkSPlz1x11VXB+sEHHxysq1TU4sWLg/X58+fLtSdMmBCsDx48OFhX14ZKUJqZdXV1BetqQLMSG2CcmhRTA4GLTJyp7c15f6WmO4tMiartzUnBquOutkvV1bDl2Dap10rdDzXQ2czsvffeC9aHDBkSrKv07/Tp0+UaZ511VrB+zz33BOupw8vNik9e8kkOAOAWTQ4A4BZNDgDgFk0OAOAWTQ4A4FZFpSs9zK5UipqbZ6bTRyr1NXnyZPlap556atJrqf1YtGhRsB5LPqo0qEo+bt26Nel1zPT1o+ZjKrF0ZeraauajOq+xtFlRSc3YMUylrpHYe0AdK1XPOVbqHKamK9X5i/2uUtulzp9KXXZ2dso1li9fHqxPnDgxWFcJ6oaGBrnGrFmzgvU5c+YE6+3t7fK1FHWd9Dy+pfaG5Ca3Zs0ae/nll23FihXW1tZmO3bssOrqamtoaLBJkybZjBkzrKmpKfVlAQAoXMlNbvfu3fbXv/7V5s6da93d3dbY2GgNDQ1WW1trO3futHfffddeeeUVu+++++yss86yK664oqyTpgEA6KnkJvfAAw/Y3Llz7fzzz7ezzz47+JG2ra3NHn/8cXvooYds+PDhdtFFFxW6sQAApCj5o9bTTz9tX/3qV+2SSy6Rf7NtaGiwSy65xM4++2x7+umni9pGAACylNzkOjo65D9g9jRx4sToP5ACAFAOJf+5cvz48fbCCy/YzJkzo//W1t3dbS+++KIdcsghyRvjeXZlkfuV+kTmww8/XL5W6lO4H3300WD93nvvDdbr6+vl2iotmTozUG2rWXq6MmfmY6lpsH1RibqcmY87duxIqsdmKKrkZercRTWT1EyfD5U+TE1dmqUnnNWxKjJrUORT3zs6OoL1VatWBevqieGx5PFRRx2V9FofffRRsF5bWyvXSE3a7kvJTe7CCy+03/3ud3bdddfZrFmzrLm52RoaGuyggw6yXbt2WVtbmy1fvtyefPJJ++CDD+zHP/5x1gYBAFCUkpvcySefbD/96U/tzjvvtFtvvVV+X1NTk/3kJz+xk046qZANBAAgV9J9ctOmTbNp06bZqlWr5H1y48ePP1DbCgBAkqyJJ+PHj6eZAQAqHndrAwDcKvmTXEdHhw0ZMmSPtFNra6s9+OCDtnjxYtu8ebPV19fbiSeeaN/61reiqToAAMqh5Cb3/e9/36655ho7/fTTzcxs3bp1dv3111tnZ6cdccQRNmnSJGtpabHHHnvM5s2bZzfddFNyo2NAc2lU7FjF34899lj5WiouvHjx4mD9N7/5TbCu7os85phj5Np1dXXB+rZt2+TPhMSuEfW11PORcwuBOrbq/KnXiR0PddzV7RlFDaw2K/aWB3Xtpg6gzon3q/1I/d0Tu6ZSt0ttU2xQuLrVo7W1NVjPOU/qVgF1D/Vbb72VvIbax9RbVj6R/RSCO+64w7Zt22a//vWv7eijj/60/tprr9nvfvc7e+CBB+zyyy/PfXkAAPZb1r/J7d69215//XX7+te/vkeDMzM76aST7Mwzz7QFCxYUsoEAAOTKanI7duywXbt2WXNzc/Drzc3NWc8RAgCgSEl/rmxpabH33nvPzP43lkU93HLLli1WXV29/1sHAMB+SGpys2fPttmzZ3/632+99ZadccYZe33f8uXLbcyYMfu/dQAA7IeSm9yVV165V62mpmavWmdnp61YscK+8IUvJG+M5wHNSmx/U4cFqwG4hx12WPJ2vfjii8H6hg0bgnU1BDr25IrQ9WOmE4NqYG5XV5dcQ6XaUpNlsVRb6hoqhacGTaukpJnJv6Yo6pirpKuZ3r+iB+mGpB7DnBSsOrep359Dba+6FmIJTpU+VNeISu3G/gqn0q4qdZmTlOy1Ac0zZ84s6fvq6+vtT3/6U9bGAABQJCaeAADcoskBANyiyQEA3KLJAQDcyh7rdSB4nl1Z5H6oZFJDQ0OwPm7cuOTXSp1FecoppwTrTU1Ncu2WlpZgXaW+VEosltRSKbXU8xGb7ajWV0lG9f3bt29P+n4znV5Ta9fW1ibVzdJThurYxhKt6mupKdjYjEiVDExNVyo5qUu1vTnJTnWs1PtJpXZjM4fVMVS3jKn9iB1btY8938ulvof5JAcAcGu/Pslt3brV1q9fb11dXcGuOmXKlP15eQAA9ktWk9u0aZPddttt9sorr0T/nPDZ6SgAAJRbVpO75ZZbbMGCBXbOOefY0UcfbUOHDi16uwAA2G9ZTe7111+3r33ta3bppZcWvT0AABQmq8nV1NTY6NGji94W17Mrc2btpT6xWM2ci/1JWa0xZMiQYH3y5MnB+sknnxysq8SgmdmqVavk10JSk4Rmet/VMVTbmzMfM/V8qNmcsUSdWkOl4NT5Vk+Vjr2WkvN07tQZjuoYxlKiSmqKUh2P2OukJjvVNR271tUa6trNefq4Ok8qkZmaHjUrfV5pqectK135xS9+0ebNm5fzowAAlE1J/xftk2fIfeLUU0+1JUuW2I033mizZs2ykSNHBju2eqgqAADlUFKTu+666+TX3njjDfk10pUAgN5UUpMLPUsOAIBKV1KTK/VZcgAAVJKsdOXHH39s27dvl08T3rJli9XU1CTPcuuPsytznvSr6iqVFJt9qBJZalajSl2q71+/fr1cOzUlqtZWqUSz0ufg7Wvt2BO41Wup7Uqd0xhL1KnjnpoqjV0jqWnJnGs9NeGYk+Asaj9Srx2z9POh1sh5Qn3qfsfWUOepsbExWFc9Qs3TjOl5rA7o7Mrbb7/drr/+evn166+/3u64446clwYAoDBZTW7RokX2+c9/Xn59xowZtnDhwuyNAgCgCFlNrq2tTX48NfvfI19aW1uzNwoAgCJkNbmhQ4famjVr5NdXr15tgwcPzt4oAACKkNXkTjzxRJs7d669//77e33tvffes7lz59q0adP2e+MAANgfWenKiy++2BYtWmQ/+9nPbPr06TZhwgQzM/vwww9twYIFVl9fbxdffHGhGwoAQKqsJtfY2Gi//e1v7e6777ZXX33V5s+fb2ZmgwcPttNPP92+853vRP/NTmFA855UlFf9TM6A39jw5pCOjo5g/e233w7WN2zYIF9LxYhzhroqKhqfOmQ3FsNWw41VPXXwdmy/1UBpdcuD2g91e4aZjsYXFVmPUbdPqOs2tnbq9ZO6Ruy9pL6m3gOp730zfTtJ7NaGkNiwbiX1GondsqL2I1f2k8EbGhrs6quvtu7ubuvs7DSz/02izvlFBADAgZDd5D5RVVX1aciEBgcAqCTZTW7Dhg1233332cKFC/f4JDdt2jS78MILD8jz5gAASJHV5FavXm2//OUvraury44//ng75JBDzMxszZo19uyzz9qCBQvshhtusKampkI3FgCAFFlN7u6777aqqiq7+eabbeLEiXt8beXKlXbDDTfY3Xffbddee20hGwkAQI6sJvff//7XzjvvvL0anJnZxIkT7eyzz7ZHH300+XX70oDmnLRkKvVaKhmoEnWf/Dk5pOcDcfe1xpQpU4L1TZs2BesfffSRXFvtn0p3pSbUYj+jEly1tbXBujoeZumpSJUsU0nJtrY2ubY6typpm5q0M9PHRCUfVTIwlj5MHTStxNKVao3URG3qsGUzPXBZra3qOcdQnaecFKVaX22vet/kJHDLOqB5165d0TdLTU2NPKkAAJRLVpM77LDD7Kmnngp+ctiyZYs99dRT1tzcvN8bBwDA/sj6c+VFF11kN954o/3whz+0mTNnfhowWbNmjT3zzDO2adMmu+KKKwrdUAAAUmU1ualTp9p1111nd911lz388MN7fG3SpEl29dVX29SpUwvZQAAAcmXfJ3f88cfbzTffbO3t7Z8+/Xn06NE2YsSIorYNAID9st8TT0aMGFFYY+tLsytTtzNnv1LnvqlE3fLly+Ua6pFJau3jjjsuWF+9enWwvnbtWrl2LBUZovYvFnJKPe4qGRib/5maFEvdplgKLjXgpdJxKplrptOVar9VKC02k1Cl82LHPWVtM70fam113NUxT02CmulrIfXYmunfCyr5HDvnitrezZs3B+vqPRt7D5SaVi51wlZ2k+vs7LSHHnrIFi5cuMcnuWnTptk3vvENPtEBAHpdVrryww8/tB/96Ef26KOPWl1dnc2YMcNmzJhhdXV19uijj9q1115rK1euLHpbAQBIkvVJ7rbbbrPdu3fbjTfeaJMnT97ja8uWLbObbrrJbr/9dvvVr35VyEYCAJAj65PcsmXL7Nxzz92rwZmZTZ482c455xx7991393vjAADYH1lNbvjw4dF/RK6urrbhw4dnbxQAAEXI+nPlueeea3PmzLEzzjhjr4BJa2urPfHEE3buuecmv25vza4sxxzK1LVj66sUl0perVu3Tq7xSWioJzVzcsyYMcG6+j81sQCSSn2lzrtTs/nM9LFSSbScmYFK6hpqvz95XmMKtYZKGMZSjCplqM6fesp47P2ktlf9n+nUupm+flKfEp86k9Qs/SnjqU/ajq3f0dERrLe3twfrsWtdJUtT38sx6jrJnV2Z1eS6u7uttrbWrrnmGjvllFNs7NixZva/uPj8+fNt7Nix1t3dbY888sgeP3feeeflLAcAQJasJnfnnXd++r+ff/75vb6+cuXKPb7nEzQ5AEA5ZTW5//u//yt6OwAAKFxWkxs9enTR2wEAQOFKTlcuW7ZMjm7pqaWlxZ555pnsjQIAoAglN7mf//zntmjRok//e/PmzXbppZfakiVL9vrepUuX2l/+8pdCNhAAgFzZsyu7u7tt586dWdHqSlOpQ6FVrFttrxp4HBvwqz6dL126NFh/+eWXg/UTTjhBrqEUNeg2dUByjIph5wyBVtulIuhqjZy1U4ckx6Leaj9UXW3T9u3bk9dIfW/GbslRx7HUQb/7ErsOU6P0ar9j72VFXQvq90tsDXWrwKpVq4L1rq6ufWzd3kp935R63or77QAAQIWhyQEA3KLJAQDcSvpDcUtLi7333ntm9v8fuLd27Vqrq6vb6/sAAOhtSU1u9uzZNnv27D1qt956a6EbBABAUUpucldeeeWB3I4+J3Woc84QaJX0S10jZsqUKcH62rVrg3U10HnFihXJ26RSVLE0YUgsjZl6TNRrxbZJpdRSU5/qvMbWTh38q4ZZx45TzrDg3hIbkqyOb+ogbSU2KDz1GskZAq3WUMPT1VCPWBJ048aNwfonf+HrKba9Sqm/Kwsf0Dxz5sxSvxUAgIpQef9XDACAgtDkAABu0eQAAG7R5AAAbmXPruzvUmfq5SQii5rh2NbWJn/mpJNOCtaHDh2a9Frt7e3Bek4qUaX51GxO9ToxRaUSzfQ8SLUfam1VV+k4M729tbW1wbo6VrFjqNZQ25uTVixqBm4s8ZmaBlUzHFMTkbGvqXrqrEszs8GDBwfrEyZMCNbHjBmTtE1mZh9++GGwvnr16mBdXQvqvWGWnq7eFz7JAQDcoskBANyiyQEA3KLJAQDcoskBANwiXVnBUlNcKqH2zjvvyDUuueSSYP20004L1tUTw+fOnRusb9iwQa6tUomqro7Hjh075BoqqZWayIyl/9RrqfOkvl8lItXxMNMpPHWscpKo6himJoxj1PaqdJ5KPsb2Tx0rVVfHPfW85qyh6rE1xo4dG6wfffTRwbq63mLvpyVLlgTr6skzqalSM72PPa9DngwOAOj3aHIAALdocgAAt2hyAAC3aHIAALdocgAAt7iFoExKfaT7/ryWiv6+//778rXU104++eRg/YQTTgjW169fH6w/99xzcu2tW7cG6ypurfY7Zyhv6oDm2NBYNTi61IjzvtaOSb1+VCQ/trbaj9SIfU5sPPX85Qz3VcOCU89f7FaP1GHk6vuHDRsm15g0aVKwnjqI+YMPPpBrvPrqq8H65s2bg3X1Xo7dklPq78pSr30+yQEA3KLJAQDcoskBANyiyQEA3KLJAQDcIl1p5Uk+5rxW6s+o729ra5M/8/jjjwfrs2bNCtZHjRoVrJ9yyinJa7/99tvBuhq+q5J2RaYrU1OXZjpdqdKuKlGnkmgxantVilKl9mJpN7Vd6npLHSweWyM14RhLV6pjknqeUq8dM33c1TFU+62GMJuZHXXUUcF6XV1dsN7V1RWsqwSlmR72rvY9db9jSFcCANADTQ4A4BZNDgDgFk0OAOAWTQ4A4FZFpSu7u7uzUjdFrFuJr6USVqkJwFjq68knnwzWZ8+eHaxffvnlwXpjY2OwPn36dLl2e3t7sK7mYKp0nEpjmhWXrowlH1WCbOjQocG6ukZyEoYqGaiOVc7+KWq71NoqrRhbv6jZo2bps09TZ3bmrF1bWxusNzU1BevTpk2TawwfPjxYV8dqxYoVwfoTTzwh11DvzdRrN/Z7stTEaanJWz7JAQDcoskBANyiyQEA3KLJAQDcoskBANyqqHRlVVXVXomZcqQti5w3WdTaOeur11LpPzOzLVu2BOt33XVXsN7c3Bysf/nLXw7WJ0yYINeeOnVqsP7SSy8F62rW3pAhQ+QaqYnM1FSiWXoyMTXNp7bJrLhrJJYMTJ0/mDNjNDWxmDorMWeN1PeTSkqa6fSxej8de+yxwXpDQ4NcQ+1HR0dHsP7vf/87WF+4cKFcQ6V5i5xRyZPBAQAoEU0OAOAWTQ4A4BZNDgDgFk0OAOAWTQ4A4FZF3ULQW3pjKPSBWDtnaG1NTU2wvmzZsmD9j3/8Y7BeX18frJ944oly7SlTpgTr6raGN998M+n7zUof4voJFYXOiaarc7tr165gXd3WEBtArfZP3VYRuxVCiV0/KXKOodq/1HpsDVVX1Htm/Pjx8mdOOOGEYH3cuHHBurodIfb7Qt0q8PDDDwfr999/f7C+ceNGuYY6h+q6Sr3NJPYz3EIAAEAPNDkAgFs0OQCAWzQ5AIBbNDkAgFukK8skZwh06s+o748l6lTKSaWoFi1aFKz//ve/D9avu+46ufZxxx0XrJ922mnB+sEHHxysq9SlmdnKlSuD9dTUV11dnVxDHXc1zHbr1q3BuhrEHEuiqe2qrq6WP5OydkzqYOOYooYn57yf1LU+bNiwYH3SpEnBeixJPGrUqGA9dQB1e3u7XOORRx4J1m+55ZZg/cMPPwzWYynY1O0tcvh9bhKdT3IAALdocgAAt2hyAAC3aHIAALdocgAAt0hXlkk50kQ58/xUKkolrFQKb968ecH6H/7wB7n2D37wg2B96tSpwfrxxx8frDc1Nck1Vq9eHayrZFlLS0uwvm3bNrnGQQeF30adnZ1J369mWsaSkqnpytQZg2bpyUuVwFP7bZY+M1Rtb2zOp3qtxsbGYP3www8P1tV1OHToULm2OibqnKvZsffcc49c41//+lew3traGqynzuw0S599WmS6Mhef5AAAbtHkAABu0eQAAG7R5AAAbtHkAABuka50JCexlJp+Ugk5lWp77rnn5Noqffjtb387WD/99NOD9Vi6Us0MVAm5TZs2BesqdWlmtmbNmmC9ra0tWB8+fHjS98dmV6onSKcqMl2pEnixdKV62raitlc9od7MbOzYscH6EUccEaw3NzcH67H9UDZs2BCsP/3008H6fffdF6zH5rSqBLC6fkp9Avdn5cwlLQpPBgcAoAeaHADALZocAMAtmhwAwC2aHADALdKVCEpNXaq5gLFZdwsWLAjW1dO858yZE6yffPLJco2TTjopWJ84cWKwruYPqqeSm+kEZ2oKTx0r9STx2NfWr18frG/cuDGpHlsjNUUZS4KqVKRKog4ZMiRYVwnK2NfUDEd1ratU8PPPPy/Xfvjhh4P1l19+OVjfsmVLsB6bzamkpihjCcqiZk7mrNHzeit1jiaf5AAAbtHkAABu0eQAAG7R5AAAbtHkAABu0eQAAG5xC0E/l3qrgPp+NQQ2FvNVP6Pi7yqivWTJErnGf/7zn2D9qKOOCtZVzHzChAlyjcMOOyxYP/TQQ4P1kSNHBuvV1dVJ32+mz9Phhx8erKvzsXbtWrlGR0dHsK7i7Cr2P3jwYLmGuoVADW7OGZKceovG0qVLg/V77rknWFfDls30LRpq+HWpMfrPig3yLuL7Y4q6tSBlDQY0AwD6PZocAMAtmhwAwC2aHADALZocAMAt0pX9XGoqqhzDXlNTX62trfJr7e3twfqKFSuCdTWI+ZBDDpFrqBSlGgKtBjqPGDEiWB8zZoxcW6VBGxsbg3V1PpqamuQa48ePD9a3bdsWrOek9tR2qeHJO3bsCNZj18LixYuD9RdeeCFYf+mll4J1de3EBmkXlWIucnhyORKROWurfeyZLCVdCQDo92hyAAC3aHIAALdocgAAt2hyAAC3SFciSWpKrDcTXGbp8wpVcm716tVyjTfeeCNYVwlHNaNSJQnVLEgznew85phjgnU1szM2m1Otr/ZDzWNUMzDN9LzSt956K1h/7bXXgvXYHNOPPvooWN+yZUuwrtKju3btCtbVfpvpxGk53h9FJTtjP1OkUn+XkK4EAPR7NDkAgFs0OQCAWzQ5AIBbNDkAgFsVla7s7u7u9TQe4oo8P7EUV8raqa9jppNw6rVicwlVOq+trS1pDZUEjc2CnD9/frCunqitns6t5maamdXV1SVtl3pi+Jo1a+QanZ2dwXpXV1ewrs6f2m+z9IRj6vmIvTd6c65kX5ppGdPznMfSrJ/FJzkAgFs0OQCAWzQ5AIBbNDkAgFs0OQCAWzQ5AIBbFXULAfzJGfaqfibnVoGixNZWkXIVQVcGDhyYvLYaIqxi/Cqqv27dOrlG6i0PaoBxLJquhlOrem1tbbAei5WnXm/qfKjXid3qgT3l/F7IvbWBswIAcIsmBwBwiyYHAHCLJgcAcIsmBwBwq6LSlVVVVXulbip1WChKk3P+Un8mJ6lV1PfHpKbtclJlqQnA1LXN9PE96KDwrw+ViCx1oG4pVIIzdi2orxV1vfG7qnQ5x6pnmrfU9DKf5AAAbtHkAABu0eQAAG7R5AAAbtHkAABuVVS6Ev4UmXwsUpEJuSLToEWtnTpfMSddmbp2bI3U7erNOaaVeN2a9a10ZxGzK0vdXz7JAQDcoskBANyiyQEA3KLJAQDcoskBANwiXYkDqhyJr3IkIsshJ/FZ1IzKnKdalyNVmvozRR4rpTdnV1bidZsj5zyRrgQAoAeaHADALZocAMAtmhwAwC2aHADALZocAMCtir+FICd27CVm21/1ZkS7HIocOlxkxD51jdTz5OW9XI5t8v4eiNm9e3ehr8cnOQCAWzQ5AIBbNDkAgFs0OQCAWzQ5AIBbFZ+uLDJN1J8TS31JXzsfRV1XlTpouqi0ZJHJzr52jaTyvn8xpCsBACgRTQ4A4BZNDgDgFk0OAOAWTQ4A4FbFpyu96K8pMS9iSULv55BrF0WLvZ9IVwIAUCKaHADALZocAMAtmhwAwC2aHADArYpKV+7evXuvZE3qU4nNikt9FbkGSbS+ra+dvyITkb25733tuKM0sfNa9DnnkxwAwC2aHADALZocAMAtmhwAwC2aHADALZocAMCtirqFoK2tzdavX7/fr5N628GAAeFer+o5P5O6dpGvFbsVIme7sH/KMfC4r0XvU49J7JpW+toxCentW6eKWrucA8/5TQYAcIsmBwBwiyYHAHCLJgcAcIsmBwBwq6LSlaEBzagsRSVXi3ytItOjlZiCzUm65iTkilqjHEOgPSQlc5Rjv3t7jaJ7AJ/kAABu0eQAAG7R5AAAbtHkAABuVVTw5Oijj+7tTcA+FBk8SV2jyOBJJQZolP4QPAE+sXXr1mC9q6trj/8utV9UdXNFAgCc4s+VAAC3aHIAALdocgAAt2hyAAC3aHIAALdocgAAt2hyAAC3aHIAALdocgAAt/4fQjRMDSM3jekAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1200x3000 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot every evaluation as a new line and example as columns\n",
    "val_samples = np.linspace(val_interval, max_epochs, int(max_epochs / val_interval))\n",
    "print(len(val_samples))\n",
    "fig, ax = plt.subplots(nrows=len(val_samples), ncols=1, sharey=True)\n",
    "fig.set_size_inches(12, 30)\n",
    "ax = ensure_tuple(ax)\n",
    "\n",
    "for image_n in range(len(val_samples)):\n",
    "    reconstructions = intermediary_images[image_n][0]\n",
    "    ax[image_n].imshow(reconstructions.cpu(), cmap=\"gray\")\n",
    "    ax[image_n].set_xticks([])\n",
    "    ax[image_n].set_yticks([])\n",
    "    ax[image_n].set_ylabel(f\"Epoch {val_samples[image_n]:.0f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ddf951ac",
   "metadata": {},
   "source": [
    "### Generating samples from the trained model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "29463149",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 256/256 [00:02<00:00, 120.57it/s]\n",
      "100%|██████████| 256/256 [00:01<00:00, 128.61it/s]\n",
      "100%|██████████| 256/256 [00:01<00:00, 128.31it/s]\n",
      "100%|██████████| 256/256 [00:01<00:00, 128.67it/s]\n",
      "100%|██████████| 256/256 [00:01<00:00, 128.55it/s]\n"
     ]
    }
   ],
   "source": [
    "samples = []\n",
    "for _ in range(5):\n",
    "    sample = inferer.sample(\n",
    "        vqvae_model=vqvae_model,\n",
    "        transformer_model=transformer_model,\n",
    "        ordering=ordering,\n",
    "        latent_spatial_dim=(spatial_shape[0], spatial_shape[1]),\n",
    "        starting_tokens=vqvae_model.num_embeddings * torch.ones((1, 1), device=device),\n",
    "    )\n",
    "    samples.append(sample[:, 0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "b9ebc8e9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(nrows=1, ncols=5)\n",
    "for i in range(5):\n",
    "    ax[i].imshow(samples[i][0].detach().cpu(), vmin=0, vmax=1, cmap=\"gray\")\n",
    "    ax[i].axis(\"off\")\n",
    "    ax[i].title.set_text(\"Sample \" + str(i))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "24692601",
   "metadata": {},
   "source": [
    "### Cleanup data directory\n",
    "\n",
    "Remove directory if a temporary was used."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "28dd0e26",
   "metadata": {},
   "outputs": [],
   "source": [
    "if directory is None:\n",
    "    shutil.rmtree(root_dir)"
   ]
  }
 ],
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